Associate Professor James Welsh
Associate Professor
School of Engineering (Electrical and Computer Engineering)
- Email:james.welsh@newcastle.edu.au
- Phone:(02) 4921 6087
Career Summary
Biography
Dr Welsh completed a PhD in the area of system identification in 2004. Specifically, his PhD thesis studied ill-conditioning that arises in numerous aspects of system identification. He also proposed several novel techniques and methods to avoid the problems that are associated with this ill-conditioning. Dr Welsh has over ten years of experience as an engineer working in industry. This work focused on control engineering. Frequently in this work, he used system identification methods to obtain appropriate models. This dual background gives Dr Welsh an important perspective of systems research. In particular, his goal is to emphasize strong theoretical contributions which have genuine practical relevance.
Research Expertise
I have a strong interest in both fundamental and applied research in the areas of control system design and system identification. More recently, I have become involved with research on experiment design for dynamic systems.
Teaching Expertise
My teaching experience covers the areas of control systems, system identification, electronics and electrical circuit theory.
Qualifications
- PhD, University of Newcastle
- Bachelor of Engineering (Honours), University of Newcastle
Keywords
- Automation
- Biomedical
- Control
- Control Systems
- Electrical Engineering
- Medical Engineering
- Modelling and Control
- System Identification
Fields of Research
Code | Description | Percentage |
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490105 | Dynamical systems in applications | 15 |
400705 | Control engineering | 70 |
400308 | Medical devices | 15 |
Professional Experience
UON Appointment
Title | Organisation / Department |
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Associate Professor | University of Newcastle School of Electrical Engineering and Computing Australia |
Membership
Dates | Title | Organisation / Department |
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Member - Institute of Electrical and Electronics Engineers (USA) | Institute of Electrical and Electronics Engineers United States |
Awards
Honours
Year | Award |
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1997 |
Spruson & Ferguson Prize in Electrical / Computer Engineering University of Newcastle |
1997 |
Dean's Medal Unknown |
Recognition
Year | Award |
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1997 |
The National Undergraduate Thesis Prize in Automation, Control and Instrumentation Unknown |
Research Award
Year | Award |
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2003 |
2003 CDC Best Student Paper Award. Unknown |
2003 |
Best Research Paper Published by a Research Postgraduate Student in a Peer Reviewed Int. Journal Unknown |
Publications
For publications that are currently unpublished or in-press, details are shown in italics.
Chapter (3 outputs)
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2006 |
Goodwin GC, Rojas CR, Welsh JS, 'Good, Bad and Optimal Experiments for Identification', Forever Ljung in System Identification, Studentlitteratur, Lund, Sweden 103-125 (2006) [B1]
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2005 |
Welsh JS, Haimovich H, Quevedo DE, 'Control over communication networks', Constrained Control and Estimation: An Optimisation Approach, Springer-Verlag, London 361-400 (2005) [B1]
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2000 |
Goodwin GC, Welsh JS, 'Singularity issues in closed loop identification', Model Identification and Adaptive Control: From windsurfing to telecommunications, Springer-Verlag, London 27-51 (2000) [B1]
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Journal article (46 outputs)
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2023 |
Gonzalez RA, Rojas CR, Pan S, Welsh JS, 'On the Relation Between Discrete and Continuous-Time Refined Instrumental Variable Methods', IEEE Control Systems Letters, 7 2233-2238 (2023) [C1] The Refined Instrumental Variable method for discrete-time systems (RIV) and its variant for continuous-time systems (RIVC) are popular methods for the identification of linear sy... [more] The Refined Instrumental Variable method for discrete-time systems (RIV) and its variant for continuous-time systems (RIVC) are popular methods for the identification of linear systems in open-loop. The continuous-time equivalent of the transfer function estimate given by the RIV method is commonly used as an initialization point for the RIVC estimator. In this letter, we prove that these estimators share the same converging points for finite sample size when the continuous-time model has relative degree zero or one. This relation does not hold for higher relative degrees. Then, we propose a modification of the RIV method whose continuous-time equivalent is equal to the RIVC estimator for any non-negative relative degree. The implications of the theoretical results are illustrated via a simulation example.
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2023 |
Vysma M, Welsh JS, Laver D, 'Computationally Efficient Simulation of Calcium Signaling in Cardiomyocytes', IEEE Transactions on Biomedical Engineering, 70 1298-1309 (2023) [C1] The objective of this paper is to develop a computationally efficient simulation model of Calcium signalling in cardiomyocytes. The model considered here consists of more than two... [more] The objective of this paper is to develop a computationally efficient simulation model of Calcium signalling in cardiomyocytes. The model considered here consists of more than two million stiff, nonlinear, and stochastic systems, each of which is composed of 62 state equations. The size of the model, combined with the broad numerical scale, non-continuous stochastic state-transitions, and underlying physiological constraints, presents a significant implementation challenge. The method involves development of specialised algorithms for parallelisation, which include fully-implicit Runge-Kutta integration with both L-stability and step-size control, Newton's root finding method with exception handling, and Conjugate Residual Squared for solving linear systems not of full-rank within available computational precision. Parallelisation of the problem across the systems is employed to allow for practical scaling with computing resources. The results produce sparks and waves akin to those observed in actual laboratory experiments within an acceptable timeframe. Performance measures of the simulation model with respect to accuracy and computation time are also given. The conclusion is that the methodologies utilised in this work are can simulate cardiomyocyte's calcium signalling in a computationally efficient manner with the results produced replicating those in the laboratory. The significance of this paper is that computational models such as the one developed here provide a way to simulate and understand the complex biological interactions operating in organisms. Accurate simulations are extremely computationally intensive and this pursuit is considered as the grand challenge for computational science into the 21st century.
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2022 |
Pan S, Gonzalez RAA, Welsh JSS, Rojas CRR, 'Consistency analysis of the Simplified Refined Instrumental Variable method for Continuous-time systems (vol 113, 108767, 2020)', AUTOMATICA, 136 (2022)
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2022 |
González RA, Rojas CR, Pan S, Welsh JS, 'Theoretical and practical aspects of the convergence of the SRIVC estimator for over-parameterized models', Automatica, 142 (2022) [C1] The Simplified Refined Instrumental Variable method for Continuous-time systems (SRIVC) is one of the most popular direct methods for linear continuous-time system identification.... [more] The Simplified Refined Instrumental Variable method for Continuous-time systems (SRIVC) is one of the most popular direct methods for linear continuous-time system identification. Only recently, some optimal asymptotic properties of this method have been proven. Here we provide a comprehensive analysis of the convergence of the SRIVC method for over-parameterized models. The results we derive are used to discuss practical aspects of the method and to analyze the behavior of the normalized error variance norm, which is a central part in Young's Information Criterion for model order selection. The theoretical findings are validated through simulation examples.
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2022 |
Astono IP, Welsh JS, Rowe CW, Jobling P, 'Objective quantification of nerves in immunohistochemistry specimens of thyroid cancer utilising deep learning.', PLoS Comput Biol, 18 e1009912 (2022) [C1]
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2022 |
Pan S, Welsh JS, González RA, Rojas CR, 'Consistency analysis and bias elimination of the Instrumental-Variable-based State Variable Filter method', Automatica, 144 (2022) [C1]
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2022 |
Choi JH, Asadi B, Simpson J, Dowling JA, Chalup S, Welsh J, Greer P, 'Investigation of a water equivalent depth method for dosimetric accuracy evaluation of synthetic CT', PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS, 105 (2022) [C1]
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2022 |
González RA, Rojas CR, Pan S, Welsh JS, 'Refined Instrumental Variable Methods for Unstable Continuous-time Systems in Closed-loop', International Journal of Control, 1-15 (2022) [C1]
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2022 |
Iredale JA, Stoddard JG, Drury HR, Browne TJ, Elton A, Madden JF, et al., 'Recording Network Activity in Spinal Nociceptive Circuits using Microelectrode Arrays', JOVE-JOURNAL OF VISUALIZED EXPERIMENTS, (2022) [C1]
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2021 |
González RA, Rojas CR, Pan S, Welsh JS, 'Consistent identification of continuous-time systems under multisine input signal excitation', Automatica, 133 (2021) [C1] For many years, the Simplified Refined Instrumental Variable method for Continuous-time systems (SRIVC) has been widely used for identification. The intersample behaviour of the i... [more] For many years, the Simplified Refined Instrumental Variable method for Continuous-time systems (SRIVC) has been widely used for identification. The intersample behaviour of the input plays an important role in this method, and it has been shown recently that the SRIVC estimator is not consistent if an incorrect assumption on the intersample behaviour is considered. In this paper, we present an extension of the SRIVC algorithm that is able to deal with continuous-time multisine signals, which cannot be interpolated exactly through hold reconstructions. The proposed estimator is generically consistent for any input reconstructed through zero or first-order-hold devices, and we show that it is generically consistent for continuous-time multisine inputs as well. The statistical performance of the proposed estimator is compared to the standard SRIVC estimator through extensive simulations.
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2020 |
Astono IP, Welsh JS, Chalup S, Greer P, 'Optimisation of 2D U-Net Model Components for Automatic Prostate Segmentation on MRI', Applied Sciences, 10 (2020) [C1]
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2020 |
Pan S, González RA, Welsh JS, Rojas CR, 'Consistency analysis of the Simplified Refined Instrumental Variable method for Continuous-time systems', Automatica, 113 (2020) [C1]
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2020 |
Hu XL, Welsh JS, 'Continuous-Time Model Identification from Filtered Sampled Data: Error Analysis', IEEE Transactions on Automatic Control, 65 4005-4015 (2020) [C1] In this article, an upper bound is established for the estimation error of a standard least squares (LS) algorithm used to identify a continuous-time model from filtered, sampled ... [more] In this article, an upper bound is established for the estimation error of a standard least squares (LS) algorithm used to identify a continuous-time model from filtered, sampled input-output data. It is found that the error has three constituent components due to the initial conditions, observation noise, and sample period. In particular, the initial condition bias is bounded by O(1/[N\Delta t]), which requires sufficiently large [N¿ t] for accurate LS estimation. The theoretical results obtained are confirmed by simulation.
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2020 |
Gholizadeh N, Simpson J, Ramadan S, Denham J, Lau P, Siddique S, et al., 'Voxel-based supervised machine learning of peripheral zone prostate cancer using noncontrast multiparametric MRI', Journal of Applied Clinical Medical Physics, 21 179-191 (2020) [C1]
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2020 |
Pan S, Welsh JS, González RA, Rojas CR, 'Efficiency analysis of the Simplified Refined Instrumental Variable method for Continuous-time systems', Automatica, 121 (2020) [C1]
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2019 |
Stoddard JG, Birpoutsoukis G, Schoukens J, Welsh JS, 'Gaussian process regression for the estimation of generalized frequency response functions', Automatica, 106 161-167 (2019) [C1]
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2019 |
Stoddard JG, Birpoutsoukis G, Lataire J, Welsh JS, 'Frequency domain response under arbitrary excitation for fading memory nonlinear systems', Automatica, 107 327-332 (2019) [C1]
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2019 |
Choi JH, Lee D, O'Connor L, Chalup S, Welsh JS, Dowling J, Greer PB, 'Bulk Anatomical Density Based Dose Calculation for Patient-Specific Quality Assurance of MRI-Only Prostate Radiotherapy', Frontiers in Oncology, 9 (2019) [C1]
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2018 |
Gilson M, Welsh JS, Garnier H, 'A Frequency Localizing Basis Function-Based IV Method for Wideband System Identification', IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 26 329-335 (2018) [C1]
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2018 |
Ha H, Welsh JS, Rojas CR, Wahlberg B, 'An analysis of the SPARSEVA estimate for the finite sample data case', Automatica, 96 141-149 (2018) [C1]
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2018 |
Ha H, Welsh JS, Alamir M, 'Useful redundancy in parameter and time delay estimation for continuous-time models', Automatica, 95 455-462 (2018) [C1]
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2017 |
Stoddard JG, Welsh JS, Hjalmarsson H, 'EM-based hyperparameter optimization for regularized volterra kernel estimation', IEEE Control Systems Letters, 1 388-393 (2017) [C1] In nonlinear system identification, Volterra kernel estimation based on regularized least squares can be performed by taking a Bayesian approach. In this framework, covariance str... [more] In nonlinear system identification, Volterra kernel estimation based on regularized least squares can be performed by taking a Bayesian approach. In this framework, covariance structures which describe the Gaussian kernels are represented by a set of hyperparameters. The hyperparameters are traditionally tuned through a global optimization which maximizes their marginal likelihood with respect to the measured data. The global optimization is computationally intensive for high-order estimates, as the number of hyperparameters increases quadratically with the Volterra series order. In this letter, we propose a new method of hyperparameter tuning based on expectation-maximization (EM). The technique allows the global optimization to be split into smaller components such that the search space of any given optimization problem is not prohibitively large. The main advantage of the proposed EM method is improved computation time scaling with respect to Volterra series order. The computation time benefits of the EM-based method are demonstrated through a numerical example for the case where the maximum nonlinear order is known.
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2017 |
Mitchell SD, Welsh JS, 'Methodology to locate and quantify radial winding deformation in power transformers', HIGH VOLTAGE, 2 17-24 (2017) [C1]
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2013 |
Hu X-L, Welsh JS, 'Necessary and sufficient convergence conditions of the instrumental variable method for identification', AUTOMATICA, 49 2693-2703 (2013) [C1]
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2013 |
Mitchell SD, Welsh JS, 'Initial parameter estimates and constraints to support gray box modeling of power transformers', IEEE Transactions on Power Delivery, 28 2411-2418 (2013) [C1] An accurate transformer model is an important tool for use in the study of power transformers. However, a manufacturer's proprietary restrictions will generally make access t... [more] An accurate transformer model is an important tool for use in the study of power transformers. However, a manufacturer's proprietary restrictions will generally make access to the detailed design specifications of a transformer difficult. Therefore, in order to construct a physically representative transformer model, it is often necessary to estimate the model parameters. One approach is to fit the model to data obtained from tests, such as frequency-response analysis. However, during the process of fitting a model to a data set, it is critical that the estimated parameters appropriately represent the transformer under test. An estimator that is not constrained can converge on a parameter set which may satisfy the objective function but is not physically representative of the transformer. It is therefore important to constrain the model parameters. The aim of this paper is to formulate a methodology to obtain initial estimates and constraints for several fundamental transformer parameters. To demonstrate applicability, the initial parameter estimates and constraints are applied to a range of distribution transformers of varying age and manufacture, ranging in size from 200 kVA to 18 MVA. © 1986-2012 IEEE.
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2012 |
Rojas CR, Aguero JC, Welsh JS, Goodwin GC, Feuer A, 'Robustness in experiment design', IEEE Transactions on Automatic Control, 57 860-874 (2012) [C1]
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2012 | Konnik MV, Welsh JS, 'Performance of a discrete Linear Quadratic Gaussian controller with a realistic noise model for adaptive optics systems', GSTF Journal on Computing, 2 76-85 (2012) [C2] | ||||||||||
2011 |
Alamir M, Welsh JS, Goodwin GC, 'Synaptic plasticity based model for epileptic seizures', Automatica, 47 1183-1192 (2011) [C1]
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2011 |
Rojas CR, Barenthin M, Welsh JS, Hjalmarsson H, 'The cost of complexity in system identification: The output error case', Automatica, 47 1938-1948 (2011) [C1]
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2011 |
Goodwin GC, Medioli AM, Sher WD, Vlacic L, Welsh JS, 'Emulation-based virtual laboratories: A low-cost alternative to physical experiments in control engineering education', IEEE Transactions on Education, 54 48-55 (2011) [C1]
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2011 |
Mitchell SD, Welsh JS, 'Modeling power transformers to support the interpretation of frequency-response analysis', IEEE Transactions on Power Delivery, 26 2705-2717 (2011) [C1]
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2010 |
Rojas CR, Syberg MB, Welsh JS, Hjalmarsson H, 'The cost of complexity in system identification: Frequency function estimation of finite impulse response systems', IEEE Transactions on Automatic Control, 55 2298-2309 (2010) [C1]
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2010 |
Mitchell SD, Welsh JS, 'The influence of complex permeability on the broadband frequency response of a power transformer', IEEE Transactions on Power Delivery, 25 803-813 (2010) [C1]
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2009 |
Alamir M, Welsh JS, Goodwin GC, 'Redundancy versus multiple starting points in nonlinear system related inverse problems', Automatica, 45 1052-1057 (2009) [C1]
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2009 |
Rojas CR, Welsh JS, Aguero JC, 'Fundamental limitations on the variance of estimated parametric models', IEEE Transactions on Automatic Control, 54 1077-1081 (2009) [C1]
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2008 |
Rojas CR, Aguero JC, Welsh JS, Goodwin GC, 'On the equivalence of least costly and traditional experiment design for control', Automatica, 44 2706-2715 (2008) [C1]
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2008 |
Goodwin GC, Aguero JC, Welsh JS, Yuz-Eissmann JI, Adams GJ, Rojas CR, 'Robust identification of process models from plant data', Journal of Process Control, 18 810-820 (2008) [C1]
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2007 |
Mitchell SD, Welsh JS, Middleton RH, Phung BT, 'Practical implementation of a narrowband high frequency distributed model for locating partial discharge in a power transformer', 2007 ELECTRICAL INSULATION CONFERENCE AND ELECTRICAL MANUFACTURING EXPO, 127-+ (2007)
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2007 |
Rojas CR, Welsh JS, Goodwin GC, Feuer A, 'Robust optimal experiment design for system identification', Automatica, 43 993-1008 (2007) [C1]
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2004 |
Goodwin GC, Haimovich H, Quevedo DE, Welsh JS, 'A moving horizon approach to networked control system design', IEEE Transaction of Automatic Control, 49 1427-1445 (2004) [C1]
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2002 |
Welsh JS, Goodwin GC, 'Finite Sample Properties of Indirect Nonparametric Closed-Loop Identification', IEEE Transactions on Automatic Control, 47 1277-1292 (2002) [C1]
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2002 |
Goodwin GC, Welsh JS, 'Bias Issues in Closed Loop Identification with Application to Adaptive Control', Communications in Information and Systems, 2 349-370 (2002) [C1]
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Show 43 more journal articles |
Conference (101 outputs)
Year | Citation | Altmetrics | Link | ||||||||
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2023 |
González RA, Rojas CR, Pan S, Welsh JS, 'Parsimonious Identification of Continuous-Time Systems: A Block-Coordinate Descent Approach', IFAC-PapersOnLine (2023) The identification of electrical, mechanical, and biological systems using data can benefit greatly from prior knowledge extracted from physical modeling. Parametric continuous-ti... [more] The identification of electrical, mechanical, and biological systems using data can benefit greatly from prior knowledge extracted from physical modeling. Parametric continuous-time identification methods can naturally incorporate this knowledge, which leads to interpretable and parsimonious models. However, some applications lead to model structures that lack parsimonious descriptions using unfactored transfer functions, which are commonly used in standard direct approaches for continuous-time system identification. In this paper we characterize this parsimony problem, and develop a block-coordinate descent algorithm that delivers parsimonious models by sequentially estimating an additive decomposition of the transfer function of interest. Numerical simulations show the efficacy of the proposed approach.
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2023 |
Elton A, González RA, Welsh JS, Rojas CR, Fu M, 'Parametric Continuous-Time Blind System Identification', Proceedings of the IEEE Conference on Decision and Control (2023) In this paper, the blind system identification problem for continuous-time systems is considered. A direct continuous-time estimator is proposed by utilising a state-variable-filt... [more] In this paper, the blind system identification problem for continuous-time systems is considered. A direct continuous-time estimator is proposed by utilising a state-variable-filter least squares approach. In the proposed method, coupled terms between the numerator polynomial of the system and input parameters appear in the parameter vector which are subsequently separated using a rank-1 approximation. An algorithm is then provided for the direct identification of a single-input single-output linear time-invariant continuous-time system which is shown to satisfy the property of correctness under some mild conditions. Monte Carlo simulations demonstrate the performance of the algorithm and verify that a model and input signal can be estimated to a proportion of their true values.
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2023 |
Elton A, González RA, Welsh JS, Oomen T, Rojas CR, 'Blind Nonparametric Estimation of SISO Continuous-time Systems', IFAC-PapersOnLine, Yokohama, Japan (2023) [E1]
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2021 |
Pan S, Welsh JS, Fu M, 'Identification of continuous-time linear time-varying systems with abrupt changes in parameters', IFAC-PapersOnLine, Padova, Italy (2021) [E1]
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2021 |
Pan S, Welsh JS, Fu M, 'Identification of Continuous-time Linear Time-varying Systems with Abrupt Changes in Parameters', IFAC PAPERSONLINE, Padova, ITALY (2021) [E1]
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2021 |
Pan S, Nguyen QC, Nguyen VT, Welsh JS, 'Continuous-time System Identification of a Flexible Cantilever Beam', CCTA 2021 - 5th IEEE Conference on Control Technology and Applications, San Diego, CA, USA (2021)
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2021 |
Elton A, Nguyen PTH, Welsh JS, 'Evaluation of controller autotuning in a wind energy conversion system', 2021 IEEE PES Innovative Smart Grid Technologies - Asia, ISGT Asia 2021, Brisbane, Australia (2021) [E1]
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2021 |
Gonzalez RA, Rojas CR, Pan S, Welsh JS, 'The SRIVC algorithm for continuous-time system identification with arbitrary input excitation in open and closed loop', Proceedings of the IEEE Conference on Decision and Control, Austin, TX, USA (2021) [E1]
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2020 |
Pan S, Welsh JS, Brichta AM, Drury HR, Stoddard JG, 'Estimating the Membrane Properties of Vestibular Type II Hair Cells using Continuous-time System Identification', IFAC PAPERSONLINE, ELECTR NETWORK (2020) [E1]
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2020 |
Gonzalez RA, Welsh JS, Rojas CR, 'Enforcing stability through ellipsoidal inner approximations in the indirect approach for continuous-time system identification', IFAC PAPERSONLINE, ELECTR NETWORK (2020) [E1]
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2019 | Stoddard JG, Welsh JS, 'Improved nonlinear model predictive control with volterra-laguerre models', Proceedings of the American Control Conference ACC 2019, Philadelphia, PA (2019) [E1] | Nova | |||||||||
2019 |
Vysma M, Welsh J, Laver D, 'Simulation of Intracellular Calcium Release in Heart Cells', IFAC PAPERSONLINE, Valencia, SPAIN (2019) [E1]
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2018 |
Gonzalez RA, Rojas CR, Welsh JS, 'An asymptotically optimal indirect approach to continuous-time system identification', 2018 IEEE CONFERENCE ON DECISION AND CONTROL (CDC), FL, Miami Beach (2018) [E1]
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2018 |
Stoddard JG, Welsh JS, 'Data-Driven Modeling of a Coupled Electric Drives System Using Regularized Basis Function Volterra Kernels', Intelligent Robotics and Applications. 11th International Conference, ICIRA 2018, Newcastle, NSW (2018) [E1]
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2018 |
Aziz F, Wong ASW, Welsh JS, Chalup SK, 'Aligning Manifolds of Double Pendulum Dynamics Under the Influence of Noise', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Siem Reap, Cambodia (2018) [E1]
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2018 |
Astono I, Welsh JS, Chalup S, 'Adjacent Network for Semantic Segmentation of Liver CT Scans', PROCEEDINGS 2018 IEEE 18TH INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOENGINEERING (BIBE), TAIWAN, Taichung (2018) [E1]
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2018 |
Stoddard JG, Welsh JS, 'Regularized Basis Function Estimation of Volterra Kernels for the Cascaded Tanks Benchmark', IFAC-PapersOnLine. Proceedings of the 18th IFAC Symposium on System Identification SYSID 2018, Stockholm, Sweden (2018) [E1]
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2018 |
Pan S, Welsh JS, 'An Application of Indirect Inference to the Cascaded Tanks Nonlinear Benchmark', IFAC-PapersOnLine. Proceedings of the 18th IFAC Symposium on System Identification SYSID 2018, Stockholm, Sweden (2018) [E1]
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2018 |
Stoddard JG, Welsh JS, 'Frequency Domain Estimation of Parallel Hammerstein Systems using Gaussian Process Regression', IFAC-PapersOnLine. Proceedings of the 18th IFAC Symposium on System Identification SYSID 2018, Stockholm, Sweden (2018) [E1]
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2016 |
Ha H, Welsh JS, 'Parameter and delay estimation of continuous-time models utilizing multiple filtering', 2016 IEEE 55th Conference on Decision and Control, CDC 2016, Las Vegas, USA (2016) [E1]
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2016 |
Stoddard JG, Welsh JS, Laver DR, 'A Parallel Modelling Algorithm for Simulating Calcium Release in Cells', Proceedings. 6th IFAC Conference on Foundations of Systems Biology in Engineering, Magdeburg, Germany (2016) [E1]
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2016 |
Stoddard J, Van Eerdewijk R, Welsh J, Camp A, Brichta A, 'Using indirect inference to identify models of vestibular nerve response in an isolated inner ear', 2016 Australian Control Conference, AuCC 2016, Newcastle, NSW (2016) [E1]
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2015 |
Ha H, Welsh JS, Blomberg N, Rojas CR, Wahlberg B, 'Reweighted nuclear norm regularization: A SPARSEVA approach', IFAC-PapersOnLine (2015) [E1] The aim of this paper is to develop a method to estimate high order FIR and ARX models using least squares with re-weighted nuclear norm regularization. Typically, the choice of t... [more] The aim of this paper is to develop a method to estimate high order FIR and ARX models using least squares with re-weighted nuclear norm regularization. Typically, the choice of the tuning parameter in the reweighting scheme is computationally expensive, hence we propose the use of the SPARSEVA (SPARSe Estimation based on a VAlidation criterion) framework to overcome this problem. Furthermore, we suggest the use of the prediction error criterion (PEC) to select the tuning parameter in the SPARSEVA algorithm. Numerical examples demonstrate the veracity of this method which has close ties with the traditional technique of cross validation, but using much less computations.
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2015 |
Ha H, Welsh JS, 'Model order selection for continuous time instrumental variable methods using regularization', Proceedings of the IEEE Conference on Decision and Control (2015) [E1] The aim of this paper is to propose a new method to select the model order in continuous time system identification, instrumental variable methods. The idea is to over-parameteriz... [more] The aim of this paper is to propose a new method to select the model order in continuous time system identification, instrumental variable methods. The idea is to over-parameterize the model and utilize regularization based on the l1 norm to obtain a sparse estimate. The model order of the identified system is then determined by the rank of the Hankel matrix of the estimated parameter. Simulation results show that the proposed method works very effectively. For low signal to noise ratio (SNR), it offers a significant improvement to existing model order selection methods with the performance at high SNR comparable to the existing methods.
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2015 |
Simmons LP, Welsh JS, 'Unscented Kalman Filter based finger tracking utilising magnetoresistive sensors', Proceedings of the American Control Conference (2015) [E1] In this paper we utilise magnetoresistive sensors and an Unscented Kalman Filter to develop a finger tracking system for physical therapy and human-machine interaction. The aim of... [more] In this paper we utilise magnetoresistive sensors and an Unscented Kalman Filter to develop a finger tracking system for physical therapy and human-machine interaction. The aim of this finger tracking system is to provide a light weight apparatus with a prolonged operational period. The finger tracking algorithm utilises two-dimensional measurements of each joint relative to a magnetic field reference point to obtain an accurate model of the finger position as opposed to other light weight systems that provide information in only one dimension. The nonlinear interaction between joint movements and sensor measurement requires a nonlinear filtering technique, as such, a Kalman filter that utilises an unscented transformation was utilised.
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2015 |
Wahlberg B, Welsh J, Ljung L, 'Identification of Stochastic Wiener Systems using Indirect Inference', IFAC-PapersOnLine (2015) [E1] We study identification of stochastic Wiener dynamic systems using so-called indirect inference. The main idea is to first fit an auxiliary model to the observed data and then in ... [more] We study identification of stochastic Wiener dynamic systems using so-called indirect inference. The main idea is to first fit an auxiliary model to the observed data and then in a second step, often by simulation, fit a more structured model to the estimated auxiliary model. This two-step procedure can be used when the direct maximum-likelihood estimate is dificult or intractable to compute. One such example is the identification of stochastic Wiener systems, i.e., linear dynamic systems with process noise where the output is measured using a nonlinear sensor with additive measurement noise. It is in principle possible to evaluate the loglikelihood cost function using numerical integration, but the corresponding optimization problem can be quite intricate. This motivates studying consistent, but sub-optimal, identification methods for stochastic Wiener systems. We will consider indirect inference using the best linear approximation as an auxiliary model.We show that the key to obtain a reliable estimate is to use uncertainty weighting when fitting the stochastic Wiener model to the auxiliary model estimate. The main technical contribution of this paper is the corresponding asymptotic variance analysis. A numerical evaluation is presented based on a first-order finite impulse response system with a cubic non-linearity, for which certain illustrative analytic properties are derived.
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Nova | |||||||||
2015 |
Wahlberg B, Welsh JS, Ljung L, 'Identification of wiener systems with process noise is a nonlinear errors-in-variables problem', Proceedings of the IEEE Conference on Decision and Control, Los Angeles, United States (2015) [E1]
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Nova | |||||||||
2014 | Mitchell S, Welsh J, 'Initial Parameter Estimates and Constraints to Support Gray Box Modeling of Power Transformers', 2014 IEEE PES GENERAL MEETING - CONFERENCE & EXPOSITION, National Harbor, MD (2014) | ||||||||||
2014 |
Simmons LP, Welsh JS, 'Particle filter based finger tracking utilising magnetoresistive sensors', 2014 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM, Besancon, France (2014) [E1]
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Nova | |||||||||
2014 |
Ha H, Welsh JS, 'Ensuring stability in continuous time system identification instrumental variable method for over-parameterized models', Proceedings of the IEEE Conference on Decision and Control (2014) [E1] © 2014 IEEE.The aim of this paper is to develop constraints to ensure stability of the model in the continuous time, simplified refined instrumental variable system identification... [more] © 2014 IEEE.The aim of this paper is to develop constraints to ensure stability of the model in the continuous time, simplified refined instrumental variable system identification algorithm (SRIVC) for over-parameterized models. Specifically, a convex stability domain in the space of polynomial coefficients will be generated and the system parameters will be estimated within this domain. It is found that the model fit obtained using the proposed method offers an improvement to the typical SRIVC method. A Monte Carlo simulation is presented to illustrate the performance of the proposed approach.
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Nova | |||||||||
2013 |
Simmons LP, Welsh JS, 'Light weight finger tracking using a single point permanent magnetic field reference', Proceedings. 2013 Fifth International Conference on Computational Intelligence, Modelling and Simulation CIMSim 2013, Seoul, South Korea (2013) [E1]
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Nova | |||||||||
2013 |
Simmons LP, Welsh JS, 'Compact human-machine interface using surface electromyography', 2013 IEEE/ASME International Conference on Advanced Intelligent Mechatronics: Mechatronics for Human Wellbeing, AIM 2013, Wollongong (2013) [E1]
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Nova | |||||||||
2013 |
Gilson M, Welsh JS, Garnier H, 'Frequency-domain instrumental variable based method for wide band system identification', Proceedings of the 2013 American Control Conference, Washington, DC (2013) [E1]
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Nova | |||||||||
2013 |
Wolinski S, Welsh JS, Tusek J, 'Optimizing basis function pole locations for transformer frequency response identification', 2013 Australasian Universities Power Engineering Conference, AUPEC 2013, Hobart, Tasmania (2013) [E1]
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Nova | |||||||||
2012 |
Konnik MV, De Dona JA, Welsh JS, 'On application of constrained receding horizon control in astronomical adaptive optics', Proceedings of SPIE. Adaptive Optics Systems III, Amsterdam, Netherlands (2012) [E1]
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Nova | |||||||||
2012 | Konnik MV, Welsh JS, 'Open-source framework for documentation of scientific software written on MATLAB-compatible programming languages', Proceedings of SPIE. Software and Cyberinfrastructure for Astronomy II, Amsterdam, Netherlands (2012) [E1] | Nova | |||||||||
2012 | Kulk JA, Welsh JS, 'Measuring impacts using Support Vector Machines on a standing humanoid robot', Proceedings of the International Joint Conference on Neural Networks (IJCNN 2012), Brisbane (2012) [E1] | Nova | |||||||||
2012 | Konnik MV, De Dona JA, Welsh JS, 'Constrained control of low order adaptive optics systems using a fast suboptimal solution based on 'feedback from coupling'', Australian Control Conference Proceedings 2012, Sydney, Australia (2012) [E1] | Nova | |||||||||
2012 |
Kulk JA, Welsh JS, 'A NUPlatform for software on articulated mobile robots', Leveraging Applications of Formal Methods, Verification, and Validation, Vienna, Austria (2012) [E1]
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Nova | |||||||||
2012 |
Hjalmarsson H, Welsh JS, Rojas CR, 'Identification of Box-Jenkins models using structured ARX models and nuclear norm relaxation', Proceedings of the 16th IFAC Symposium on System Identification (SYSID 2012), Brussels, Belgium (2012) [E1]
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Nova | |||||||||
2012 |
Welsh JS, Rojas CR, Hjalmarsson H, Wahlberg B, 'Sparse estimation techniques for basis function selection in wideband system identification', Proceedings of the 16th IFAC Symposium on System Identification (SYSID 2012), Bruxelles, Belgium (2012) [E1]
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Nova | |||||||||
2012 |
Katselis D, Rojas CR, Welsh JS, Hjalmarsson H, 'Robust experiment design for system identification via semi-infinite programming techniques', Proceedings of the 16th IFAC Symposium on System Identification (SYSID 2012), Brussels, Belgium (2012) [E1]
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Nova | |||||||||
2012 |
Hu X, Welsh JS, 'Bias analysis of continuous-time model identification from filtered sample output data', Proceedings of the 51st IEEE Conference on Decision and Control, Maui, Hawaii (2012) [E1]
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Nova | |||||||||
2011 |
Mehrkanoon S, Welsh JS, Aguero JC, 'Evaluation of measures to detect the synchrony between interacting pendulum oscillators', 5th International Conference on Bioinformatics and Biomedical Engineering: iCBBE 2011, Wuhan, China (2011) [E1]
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Nova | |||||||||
2011 |
Konnik MV, Welsh JS, 'Influence of photosensor noise on accuracy of cost-effective Shack-Hartmann wavefront sensors', Proceedings of SPIE: Astronomical Adaptive Optics Systems and Applications IV, San Diego (2011) [E1]
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2011 |
Konnik MV, Welsh JS, 'On numerical simulation of high-speed CCD/CMOS-based wavefront sensors for adaptive optics', Proceedings of SPIE: Astronomical Adaptive Optics Systems and Applications IV, San Diego (2011) [E1]
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2011 |
Mitchell SD, Welsh JS, 'Estimation of physical transformer parameters from frequency response analysis', IEEE PES Trondheim PowerTech 2011: The Power of Technology for a Sustainable Society, Trondheim, Norway (2011) [E1]
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Nova | |||||||||
2011 |
Kulk JA, Welsh JS, 'Evaluation of walk optimisation techniques for the NAO robot', 11th IEEE-RAS International Conference on Humanoid Robots (Humanoids), Bled, Slovenia (2011) [E1]
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2011 |
Kulk JA, Welsh JS, 'Using redundant fitness functions to improve optimisers for humanoid robot walking', 11th IEEE-RAS International Conference on Humanoid Robots (Humanoids), Bled, Slovenia (2011) [E1]
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2011 |
Hu X, Welsh JS, 'Convergence of a recursive least squares algorithm for frequency domain identification', Proceedings of the 18th IFAC World Congress, 2011, Milano, Italy (2011) [E1]
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2011 |
Welsh JS, Kong H, 'Robust experiment design through randomisation with chance constraints', Proceedings of the 18th IFAC World Congress, 2011, Milano, Italy (2011) [E1]
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2011 | Konnik MV, Welsh JS, 'Wavefront noise reduction in a Shack-Hartmann Wavefront Sensor using Kalman filter', International Symposium on Optomechatronic Technologies (ISOT 2011), Hong Kong (2011) [E3] | Nova | |||||||||
2010 | Mitchell SD, Welsh JS, Oliveira GHC, 'Physical modelling of power transformers utilising end to end frequency response analysis', CIGRE International Workshop on Power Transformers, VI Workspot, Parana, Brasil (2010) [E2] | Nova | |||||||||
2010 | Oliveira GHC, Schauenburg FF, Maestrelli R, Rocha ACO, Mitchell SD, Welsh JS, 'SimPowerSystems para Estudo de Transitorios no Sistema Irape - Aracuai Visando Uso de Modelos Caixa-Preta de Transformadores', CIGRE International Workshop on Power Transformers, VI Workspot, Parana, Brasil (2010) [E3] | ||||||||||
2010 |
Mirzaeva G, Welsh JS, Summers TJ, Betz RE, 'Experimental investigation of frequency characteristics of large industrial DC machines with thyristor-based drives', 20th Australasian Universities Power Engineering Conference:, Christchurch, NZ (2010) [E1]
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Nova | |||||||||
2010 |
Mirzaeva G, Welsh JS, Summers TJ, Betz RE, 'Frequency analysis of experimental waveforms for DC motors in digging applications', 2010 IEEE Industry Applications Society Annual Meeting, IAS 2010, Houston, Texas (2010) [E1]
|
Nova | |||||||||
2010 | Oliveira GHC, Mitchell SD, Welsh JS, 'Modeling approaches based on FRA tests for simulating and analyzing a power transformer's dynamic behavior: A comparison', ARWtr 2010 Proceedings, Santiago de Compostela, Spain (2010) [E1] | Nova | |||||||||
2009 | Allingham D, Welsh JS, Godoy BI, Tusek J, 'On the use of indirect inference in equivalent circuit parameter estimation of a synchronous machine', AUPEC'09: 19th Australasian Universities Power Engineering Conference: Sustainable Energy Technologies and Systems, Adelaide, SA (2009) [E1] | Nova | |||||||||
2009 |
Mitchell SD, Welsh JS, 'Permeability and its influence on the broadband frequency response of a power transformer', 2009 Asia-Pacific Power and Energy Engineering Conference, Wuhan, China (2009) [E1]
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Nova | |||||||||
2009 |
Burke BJ, Rojas AJ, Welsh JS, Adams GJ, 'A simple bumpless transfer mechanism with application to multi-effect evaporators', 7th IEEE International Conference on Control and Automation, ICCA 2009, Christchurch, NZ (2009) [E1]
|
Nova | |||||||||
2009 |
Welsh JS, Aguero JC, Alamir M, 'Continuous-time system identification using indirect inference', Proceedings of the 15th IFAC Symposium on System Identification, Saint-Malo, France (2009) [E1]
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Nova | |||||||||
2009 |
Welsh JS, Rojas CR, 'A scenario based approach to robust experiment design', Proceedings of the 15th IFAC Symposium on System Identification, Saint-Malo, France (2009) [E1]
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Nova | |||||||||
2008 |
Rojas CR, Barenthin M, Welsh JS, Hjalmarsson H, 'The cost of complexity in identification of FIR systems', Proceedings of the 17th World Congress of the International Federation of Automatic Control, Seoul, Korea (2008) [E1]
|
Nova | |||||||||
2008 |
Welsh JS, Daredia T, Sobora FH, Vlacic L, Goodwin GC, 'Simulated versus hardware laboratories for control education: A critical appraisal', Proceedings of the 17th World Congress of the International Federation of Automatic Control, Seoul, Korea (2008) [E1]
|
Nova | |||||||||
2008 |
Kulk JA, Welsh JS, 'A low power walk for the NAO robot', Proceedings of the 2008 Australasian Conference on Robotics & Automation, Canberra, ACT (2008) [E1]
|
Nova | |||||||||
2008 | Mitchell SD, Welsh JS, Phung BT, 'Relating a distribution transformer's connection topology and the influence of inductive disparity to the observed frequency response', AUPEC '08 Australasian Universities Power Engineering Conference 2008, Sydney, NSW (2008) [E1] | Nova | |||||||||
2008 |
Alamir M, Welsh JS, Goodwin GC, 'On useful redundancy in experiment design for nonlinear system identification', Proceedings of the 47th IEEE Conference on Decision and Control, Cancun, Mexico (2008) [E1]
|
Nova | |||||||||
2007 |
Welsh JS, Goodwin GC, Garnier H, 'A method for bias reduction in time domain least squares parameter estimation', 3rd IFAC Symposium on System, Structure and Control. SSSC07 Proceedings, Foz do Iguassu, Brazil (2007) [E1]
|
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2007 |
Goodwin GC, Aguero JC, Welsh JS, Adams GJ, Yuz JI, Rojas CR, 'Robust identification of process models from plant data', DYCOPS 2007: 8th International IFAC Symposium on Dynamics and Control of Process Systems. Papers, Cancun, Mexico (2007) [E1]
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2007 |
Goodwin GC, Welsh JS, Feuer A, Derpich MS, 'Utilizing Prior Knowledge in Robust Optimal Experiment Design', Preprints of the 14th IFAC Symposium on System Identification, Newcastle, Australia (2007) [E1]
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2007 |
Mitchell SD, Welsh JS, Middleton RH, Phung BT, 'Practical implementation of a narrowband high frequency distributed model for locating partial discharge in a power transformer', 2007 EIC/EM EXPO. Electrical Insulation Conference and Electrical Manufacturing Expo. Proceedings, Nashville, TN (2007) [E2]
|
Nova | |||||||||
2007 |
Goodwin GC, Aguero JC, Welsh JS, Yuz-Eissmann JI, 'Some Observations on Nonlinear System Identification', Preprints of the 14th IFAC Symposium on System Identification, Newcastle, NSW, Australia (2007) [E1]
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2007 |
Rojas CR, Welsh JS, Goodwin GC, 'A receding horizon algorithm to generate binary signals with a prescribed autocovariance', Proceedings of the 2007 American Control Conference. ACC '07, New York (2007) [E1]
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2007 |
Aguero JC, Welsh JS, Rojas Norman OJ, 'On the optimality of binary-open-loop experiments to identify hammerstein systems', Proceedings of the 2007 American Control Conference. ACC '07, New York (2007) [E1]
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2007 |
Rojas CR, Welsh JS, Goodwin GC, 'A receding horizon algorithm to generate binary signals with a prescribed autocovariance', 2007 AMERICAN CONTROL CONFERENCE, VOLS 1-13, New York, NY (2007)
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2007 | Aguero JC, Welsh JS, Rojas OJ, 'On the optimality of binary-open-loop experiments to identify Hammerstein systems', 2007 AMERICAN CONTROL CONFERENCE, VOLS 1-13, New York, NY (2007) | ||||||||||
2007 |
Welsh JS, Rojas CR, Mitchell SD, 'Wideband parametric identification of a power transformer', Conference Proceedings of the 2007 Australasian Universities Power Engineering Conference. AUPEC'07, Perth, WA (2007) [E1]
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2007 |
Mitchell SD, Welsh JS, Middleton RH, Phung BT, 'A narrow band high frequency distributed power transformer model for partial discharge location', Conference Proceedings of the 2007 Australasian Universities Power Engineering Conference. AUPEC'07, Perth, WA (2007) [E1]
|
Nova | |||||||||
2007 |
Welsh JS, Rojas CR, 'Frequency localising basis functions for wide-band system identification: A condition number bound for output error systems', Proceedings of the European Control Conference 2007, Kos, Greece (2007) [E1]
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2007 |
Rojas CR, Goodwin GC, Welsh JS, Feuer A, 'Optimal experiment design with diffuse prior information', Proceedings of the European Control Conference 2007, Kos, Greece (2007) [E1]
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2006 | Sheikhzadeh M, Jutan A, Rohani S, Welsh JS, 'Non-Model based Perturbation Extremum Seeking Control Method For a Batch Crystallization Process', Proceedings of the SACAC Control Conference 2006, Durban, South Africa (2006) [E1] | ||||||||||
2006 |
Quevedo DE, Welsh JS, Goodwin GC, McLeod MC, 'Networked PID Control', Proceedings of the 2006 IEEE International Conference on Control Applications, Munich, Germany (2006) [E1]
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2006 |
Welsh JS, Goodwin GC, Feuer A, 'Evaluation and Comparison of Robust Optimal Experiment Design Criteria', Proceedings of the 2006 American Control Conference, Minneapolis, Minnesota, USA (2006) [E1]
|
Nova | |||||||||
2004 |
Haimovich H, Goodwin GC, Welsh JS, 'Set-valued observers for constrained state estimation of discrete-time systems with quantised measurements', CD ROM, Melbourne (2004) [E1]
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2004 |
Welsh JS, Goodwin GC, 'An alternative regularisation technique in closed loop non-parametric frequency domain system identification', CD ROM, Melbourne (2004) [E1]
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2004 |
Garnier H, Goodwin GC, Welsh JS, 'A time-domain approach to continuous-time model identification of highly resonant wide-band systems', CD ROM, Sydney (2004) [E1]
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2004 |
Quevedo DE, Goodwin GC, Welsh JS, 'Design issues arising in a networked control system architecture', CD ROM, Taipei (2004) [E1]
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2003 |
Welsh JS, Goodwin GC, 'Frequency localising basis functions for wide-band identification', European Control Conference, ECC 2003 (2003) A well known difficulty in system identification over a large bandwidth is the ill-conditioning of the normal matrix. This typically manifests itself as poor or erroneous estimate... [more] A well known difficulty in system identification over a large bandwidth is the ill-conditioning of the normal matrix. This typically manifests itself as poor or erroneous estimates. Several methods have been proposed in the literature for addressing this issue. However, none appear to give an entirely satisfactory solution. Here we present a novel technique, utilising particular basis functions, aimed specifically at improving the numerical properties of the least squares normal matrix in transfer function estimation over a wide bandwidth. We show that, under some mild assumptions, the achieved condition number is actually independent of the frequency range. Several examples are presented showing the superior performance of the proposed method when applied to wide-band estimation problems.
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2003 |
Welsh JS, Goodwin GC, 'Frequency Localising Basis Functions for Wide-Band Identification', Proceedings for ECC 2003, Cambridge, England (2003) [E1]
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2003 |
Quevedo DE, Goodwin GC, Welsh JS, 'Minimizing Down-Link Traffic in Networked Control Systems via Optimal Control Techniques', Proceedings for CDC 2003 (CD ROM), Maui, Hawaii, USA (2003) [E1]
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2002 |
Goodwin GC, Welsh JS, 'Self Excited Closed Loop Parametric Estimation in the Presence of Noise Undermodelling', Proceedings of the American Control Conference, Anchorage, Alaska (2002) [E1]
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2001 |
Welsh JS, Goodwin GC, 'Analysis of a Self Tuning Iteration in the Presence of Noise Undermodelling', Proceedings of 40th IEEE Conference on Decision and Control, Orlando, Florida USA (2001) [E1]
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1999 |
Welsh JS, Goodwin GC, 'A Novel Mechanism for Autotuning based on Quantisation', IFAC World Congress 1999, Beijing, P.R. China (1999) [E1]
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1999 |
Goodwin GC, Welsh JS, 'Analysis of a Novel Method of Autotuning a Multivariable Plant Based on Quantisation', Proceedings of the American Control Conference, San Diego, California, USA (1999) [E1]
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Show 98 more conferences |
Grants and Funding
Summary
Number of grants | 37 |
---|---|
Total funding | $14,646,820 |
Click on a grant title below to expand the full details for that specific grant.
20234 grants / $1,818,764
Reducing the impact of bacterial biofilms in chronic open wounds$1,023,681
Funding body: Department of Industry, Innovation and Science
Funding body | Department of Industry, Innovation and Science |
---|---|
Project Team | Professor Sarah Johnson, Mr Jason Bray, Associate Professor James Welsh |
Scheme | Cooperative Research Centres (CRC) Projects |
Role | Investigator |
Funding Start | 2023 |
Funding Finish | 2026 |
GNo | G2300018 |
Type Of Funding | CRC - Cooperative Research Centre |
Category | 4CRC |
UON | Y |
Network level decoding of touch and pain in the spinal cord$742,843
Funding body: NHMRC (National Health & Medical Research Council)
Funding body | NHMRC (National Health & Medical Research Council) |
---|---|
Project Team | Professor Brett Graham, Doctor Marc Russo, Marc Russo, Doctor Jeremy Stoddard, Associate Professor James Welsh |
Scheme | Ideas Grants |
Role | Investigator |
Funding Start | 2023 |
Funding Finish | 2025 |
GNo | G2200345 |
Type Of Funding | C1100 - Aust Competitive - NHMRC |
Category | 1100 |
UON | Y |
A Smart System for Monitoring and Quality Control of Dragon Fruit in Vietnam’s Cold Freight Trucks$50,000
Funding body: ATSE (Australian Academy of Technological Sciences and Engineering)
Funding body | ATSE (Australian Academy of Technological Sciences and Engineering) |
---|---|
Project Team | Associate Professor Duy Ngo, Quoc-Chi Nguyen, Associate Professor Lawrence Ong, Doctor Quan Vuong, Associate Professor James Welsh |
Scheme | Global Connections Fund: Bridging Grant |
Role | Investigator |
Funding Start | 2023 |
Funding Finish | 2024 |
GNo | G2200738 |
Type Of Funding | C1500 - Aust Competitive - Commonwealth Other |
Category | 1500 |
UON | Y |
Augmented reality for Hunter Retrieval Service$2,240
Funding body: University of Newcastle
Funding body | University of Newcastle |
---|---|
Project Team | Associate Professor Lawrence Ong, Associate Professor Duy Ngo, Dr Torgrim Soeyland, Associate Professor James Welsh |
Scheme | Pilot Funding Scheme |
Role | Investigator |
Funding Start | 2023 |
Funding Finish | 2023 |
GNo | G2300456 |
Type Of Funding | Internal |
Category | INTE |
UON | Y |
20222 grants / $72,566
Develop a low-cost disposal sensor to detect in real-time a range of infections$56,323
Funding body: Design and Industry Pty Ltd
Funding body | Design and Industry Pty Ltd |
---|---|
Project Team | Associate Professor James Welsh, Doctor Colin Coates, Professor Minyue Fu |
Scheme | Entrepreneurs' Programme: Innovation Connections |
Role | Lead |
Funding Start | 2022 |
Funding Finish | 2023 |
GNo | G2200623 |
Type Of Funding | C3100 – Aust For Profit |
Category | 3100 |
UON | Y |
Develop a low-cost disposal sensor to detect in real-time a range of infections$16,243
Funding body: Department of Industry, Innovation and Science
Funding body | Department of Industry, Innovation and Science |
---|---|
Project Team | Associate Professor James Welsh, Doctor Colin Coates, Professor Minyue Fu |
Scheme | Entrepreneurs' Programme: Innovation Connections |
Role | Lead |
Funding Start | 2022 |
Funding Finish | 2022 |
GNo | G2200694 |
Type Of Funding | C2200 - Aust Commonwealth – Other |
Category | 2200 |
UON | Y |
20211 grants / $20,025
Develop Version 2.0 of the Elecbrake Technology $20,025
Funding body: Elecbrakes Pty Ltd
Funding body | Elecbrakes Pty Ltd |
---|---|
Project Team | Associate Professor James Welsh, Doctor Colin Coates |
Scheme | Entrepreneurs' Programme: Innovation Connections |
Role | Lead |
Funding Start | 2021 |
Funding Finish | 2022 |
GNo | G2100766 |
Type Of Funding | C3100 – Aust For Profit |
Category | 3100 |
UON | Y |
20203 grants / $109,374
To research and develop a specific Industry 4.0 solution$48,687
Funding body: Whiteley Corporation Pty Ltd
Funding body | Whiteley Corporation Pty Ltd |
---|---|
Project Team | Associate Professor James Welsh, Doctor Adrian Medioli |
Scheme | Entrepreneurs' Programme: Innovation Connections |
Role | Lead |
Funding Start | 2020 |
Funding Finish | 2021 |
GNo | G2001063 |
Type Of Funding | C3100 – Aust For Profit |
Category | 3100 |
UON | Y |
To research and develop a specific Industry 4.0 solution$48,687
Funding body: Department of Industry, Science, Energy and Resources
Funding body | Department of Industry, Science, Energy and Resources |
---|---|
Project Team | Associate Professor James Welsh |
Scheme | Entrepreneurs' Programme: Innovation Connections |
Role | Lead |
Funding Start | 2020 |
Funding Finish | 2021 |
GNo | G2001152 |
Type Of Funding | C2200 - Aust Commonwealth – Other |
Category | 2200 |
UON | Y |
Artificial intelligence (with machine learning) to quantify nerve density in cancer with prognostic and therapeutic potential$12,000
Funding body: John Hunter Charitable Trust Grant
Funding body | John Hunter Charitable Trust Grant |
---|---|
Project Team | Doctor Chris Rowe, Associate Professor Katie Wynne, Associate Professor James Welsh, Doctor Ricardo Vilain, Associate Professor Phil Jobling |
Scheme | John Hunter Charitable Trust Grant |
Role | Investigator |
Funding Start | 2020 |
Funding Finish | 2020 |
GNo | |
Type Of Funding | C3112 - Aust Not for profit |
Category | 3112 |
UON | N |
20191 grants / $260,000
Deep learning for MR-only head and neck radiotherapy planning $260,000
Funding body: Varian Medical Systems, Inc.
Funding body | Varian Medical Systems, Inc. |
---|---|
Project Team | Professor Peter Greer, Associate Professor James Welsh, Associate Professor Stephan Chalup, Professor John Simpson |
Scheme | Research Grant |
Role | Investigator |
Funding Start | 2019 |
Funding Finish | 2021 |
GNo | |
Type Of Funding | International - Non Competitive |
Category | 3IFB |
UON | N |
20172 grants / $370,693
The HAMI Study: Exploring Hamstring and Adductor Myotendinous Injury Risk Factors in Basketball$320,693
Funding body: NBA and GE Healthcare Orthopedics and Sports Medicine Collaboration
Funding body | NBA and GE Healthcare Orthopedics and Sports Medicine Collaboration |
---|---|
Project Team | Doctor Suzi Edwards, Dr Tania Pizarri, Associate Professor James Welsh, Professor Suzanne Snodgrass, Mr Michael Drew, Dr Ebonie Rio, Associate Professor Nicholas O'Dwyer, Doctor Adrian Schultz, Mr Luke Donnan |
Scheme | Myotendinous Injuries Call for Proposals |
Role | Investigator |
Funding Start | 2017 |
Funding Finish | 2022 |
GNo | G1601104 |
Type Of Funding | C3400 – International For Profit |
Category | 3400 |
UON | Y |
Intelligent Intramedullary Implant for Limb Lengthening$50,000
Funding body: ATSE (Australian Academy of Technological Sciences and Engineering)
Funding body | ATSE (Australian Academy of Technological Sciences and Engineering) |
---|---|
Project Team | Associate Professor James Welsh, Mr Jian Ping Chai |
Scheme | Global Connections Fund: Bridging Grant |
Role | Lead |
Funding Start | 2017 |
Funding Finish | 2017 |
GNo | G1701299 |
Type Of Funding | Aust Competitive - Commonwealth |
Category | 1CS |
UON | Y |
20161 grants / $7,000
Remote powering, communication and control of a intramedullary medical implant$7,000
Funding body: ATSE (Australian Academy of Technological Sciences and Engineering)
Funding body | ATSE (Australian Academy of Technological Sciences and Engineering) |
---|---|
Project Team | Associate Professor James Welsh, Joseph Chai |
Scheme | Global Connections Fund: Priming Grant |
Role | Lead |
Funding Start | 2016 |
Funding Finish | 2016 |
GNo | G1600987 |
Type Of Funding | Other Public Sector - Commonwealth |
Category | 2OPC |
UON | Y |
20151 grants / $241,064
Portable motor rehab device to improve arm movement after stroke$241,064
Funding body: NHMRC (National Health & Medical Research Council)
Funding body | NHMRC (National Health & Medical Research Council) |
---|---|
Project Team | Professor Paulette Van Vliet, Associate Professor James Welsh, Professor Michael Nilsson, MELISSA Knight, Professor Irene Hudson, Mr Jeffrey Julian, Mr Luke Simmons |
Scheme | Development Grants |
Role | Investigator |
Funding Start | 2015 |
Funding Finish | 2016 |
GNo | G1400746 |
Type Of Funding | Aust Competitive - Commonwealth |
Category | 1CS |
UON | Y |
20141 grants / $1,500
Conference on Decision and Control (CDC2014), Los Anglese, USA, 14-17 December 2014$1,500
Funding body: University of Newcastle - Faculty of Engineering & Built Environment
Funding body | University of Newcastle - Faculty of Engineering & Built Environment |
---|---|
Project Team | Associate Professor James Welsh |
Scheme | Travel Grant |
Role | Lead |
Funding Start | 2014 |
Funding Finish | 2014 |
GNo | G1401352 |
Type Of Funding | Internal |
Category | INTE |
UON | Y |
20132 grants / $11,250
2013 International Visitor - Wahlberg$9,750
Funding body: University of Newcastle
Funding body | University of Newcastle |
---|---|
Project Team | Associate Professor James Welsh, Professor Bo Wahlberg |
Scheme | DVCR International Visitor Support |
Role | Lead |
Funding Start | 2013 |
Funding Finish | 2013 |
GNo | G1301113 |
Type Of Funding | Internal |
Category | INTE |
UON | Y |
American Control Conference, Washington USA, 17-19 June 2013$1,500
Funding body: University of Newcastle - Faculty of Engineering & Built Environment
Funding body | University of Newcastle - Faculty of Engineering & Built Environment |
---|---|
Project Team | Associate Professor James Welsh |
Scheme | Travel Grant |
Role | Lead |
Funding Start | 2013 |
Funding Finish | 2013 |
GNo | G1300653 |
Type Of Funding | Internal |
Category | INTE |
UON | Y |
20125 grants / $616,912
Facility for Characterization of Engineered Microelectromechanical Systems$300,000
Funding body: ARC (Australian Research Council)
Funding body | ARC (Australian Research Council) |
---|---|
Project Team | Professor Reza Moheimani, Professor Erich Kisi, Scientia Professor Ian Petersen, Professor Gursel Alici, Dr Elanor Huntington, Dr Sam Behrens, Associate Professor Charles Harb, Dr Hermanshu Pota, Associate Professor Weihua Li, Associate Professor James Welsh, Associate Professor Terrence Summers |
Scheme | Linkage Infrastructure Equipment & Facilities (LIEF) |
Role | Investigator |
Funding Start | 2012 |
Funding Finish | 2012 |
GNo | G1100803 |
Type Of Funding | Scheme excluded from IGS |
Category | EXCL |
UON | Y |
Facility for Characterization of Engineered Microelectromechanical Systems$200,000
Funding body: University of Newcastle
Funding body | University of Newcastle |
---|---|
Project Team | Professor Reza Moheimani, Professor Erich Kisi, Associate Professor James Welsh, Associate Professor Terrence Summers |
Scheme | Equipment Grant |
Role | Investigator |
Funding Start | 2012 |
Funding Finish | 2012 |
GNo | G1100690 |
Type Of Funding | Internal |
Category | INTE |
UON | Y |
Facility for Characterization of Engineered Microelectromechanical Systems$53,621
Funding body: CSIRO - Commonwealth Scientific and Industrial Research Organisation
Funding body | CSIRO - Commonwealth Scientific and Industrial Research Organisation |
---|---|
Project Team | Professor Reza Moheimani, Professor Erich Kisi, Scientia Professor Ian Petersen, Professor Gursel Alici, Dr Elanor Huntington, Dr Sam Behrens, Associate Professor Charles Harb, Dr Hermanshu Pota, Associate Professor Weihua Li, Associate Professor James Welsh, Associate Professor Terrence Summers |
Scheme | Linkage Infrastructure Equipment & Facilities (LIEF) Partner Funding |
Role | Investigator |
Funding Start | 2012 |
Funding Finish | 2012 |
GNo | G1200708 |
Type Of Funding | Scheme excluded from IGS |
Category | EXCL |
UON | Y |
Facility for Characterization of Engineered Microelectromechanical Systems$53,291
Funding body: ARC (Australian Research Council)
Funding body | ARC (Australian Research Council) |
---|---|
Project Team | Professor Reza Moheimani, Professor Erich Kisi, Scientia Professor Ian Petersen, Professor Gursel Alici, Dr Elanor Huntington, Dr Sam Behrens, Associate Professor Charles Harb, Dr Hermanshu Pota, Associate Professor Weihua Li, Associate Professor James Welsh, Associate Professor Terrence Summers |
Scheme | Linkage Infrastructure Equipment & Facilities (LIEF) Partner Funding |
Role | Investigator |
Funding Start | 2012 |
Funding Finish | 2012 |
GNo | G1200709 |
Type Of Funding | Scheme excluded from IGS |
Category | EXCL |
UON | Y |
Development of a prototype to measure arm coordination$10,000
Funding body: University of Newcastle
Funding body | University of Newcastle |
---|---|
Project Team | Professor Paulette Van Vliet, Associate Professor James Welsh, Professor Irene Hudson |
Scheme | Linkage Pilot Research Grant |
Role | Investigator |
Funding Start | 2012 |
Funding Finish | 2012 |
GNo | G1200699 |
Type Of Funding | Internal |
Category | INTE |
UON | Y |
20111 grants / $25,000
A Computationally Efficient Approach to Robust Experiment Design$25,000
Funding body: University of Newcastle
Funding body | University of Newcastle |
---|---|
Project Team | Associate Professor James Welsh |
Scheme | Near Miss Grant |
Role | Lead |
Funding Start | 2011 |
Funding Finish | 2011 |
GNo | G1001039 |
Type Of Funding | Internal |
Category | INTE |
UON | Y |
20101 grants / $220,000
Robust Dynamical System Identification$220,000
Funding body: ARC (Australian Research Council)
Funding body | ARC (Australian Research Council) |
---|---|
Project Team | Associate Professor James Welsh, Doctor Juan Carlos Aguero |
Scheme | Discovery Projects |
Role | Lead |
Funding Start | 2010 |
Funding Finish | 2012 |
GNo | G0190092 |
Type Of Funding | Aust Competitive - Commonwealth |
Category | 1CS |
UON | Y |
20092 grants / $280,000
Novel time-frequency techniques for analysing and modeling nonstationary physical and engineering data$260,000
Funding body: ARC (Australian Research Council)
Funding body | ARC (Australian Research Council) |
---|---|
Project Team | Associate Professor James Welsh, Professor Peter Schreier |
Scheme | Discovery Projects |
Role | Lead |
Funding Start | 2009 |
Funding Finish | 2011 |
GNo | G0188748 |
Type Of Funding | Aust Competitive - Commonwealth |
Category | 1CS |
UON | Y |
Fault Detection in Electricity Networks$20,000
Funding body: Ausgrid
Funding body | Ausgrid |
---|---|
Project Team | Doctor Steve Mitchell, Associate Professor James Welsh, Associate Professor Jose De Dona |
Scheme | Sponsorship Agreement |
Role | Investigator |
Funding Start | 2009 |
Funding Finish | 2009 |
GNo | G0900082 |
Type Of Funding | Other Public Sector - State |
Category | 2OPS |
UON | Y |
20084 grants / $10,026,084
Centre for Complex Dynamic Systems and Control$9,648,000
Funding body: ARC (Australian Research Council)
Funding body | ARC (Australian Research Council) |
---|---|
Project Team | Emeritus Laureate Professor Graham Goodwin, Professor Minyue Fu, Professor Reza Moheimani, Doctor Julio Braslavsky, Dr GREG Adams, Associate Professor Jose De Dona, Associate Professor Maria Seron, Associate Professor James Welsh, Professor Andrew Fleming, Associate Professor Tristan Perez, Doctor Damian Marelli, Associate Professor Brailey Sims, Conjoint Professor Kerrie Mengersen, Professor A Pettitt, Dr R Reeves, Professor Ian Turner, Dr Salvatore Crisafulli, Dr M Downey, Mr J Lee, Mr P Stone, Conjoint Professor John Rayner |
Scheme | ARC Centres of Excellence |
Role | Investigator |
Funding Start | 2008 |
Funding Finish | 2010 |
GNo | G0188623 |
Type Of Funding | Aust Competitive - Commonwealth |
Category | 1CS |
UON | Y |
Centre for Complex Dynamic Systems and Control$323,084
Funding body: NSW Department of State and Regional Development
Funding body | NSW Department of State and Regional Development |
---|---|
Project Team | Emeritus Laureate Professor Graham Goodwin, Professor Minyue Fu, Professor Reza Moheimani, Doctor Julio Braslavsky, Dr GREG Adams, Associate Professor Jose De Dona, Associate Professor Maria Seron, Associate Professor James Welsh, Professor Andrew Fleming, Doctor Damian Marelli, Associate Professor Brailey Sims, Conjoint Professor Kerrie Mengersen, Professor A Pettitt, Dr R Reeves, Professor Ian Turner, Dr Salvatore Crisafulli, Dr M Downey, Mr J Lee, Mr P Stone |
Scheme | ARC Centres of Excellence Partner Funding |
Role | Investigator |
Funding Start | 2008 |
Funding Finish | 2010 |
GNo | G0189187 |
Type Of Funding | Other Public Sector - State |
Category | 2OPS |
UON | Y |
Robust Autonomy$45,000
Funding body: Boeing Defence Australia Ltd
Funding body | Boeing Defence Australia Ltd |
---|---|
Project Team | Associate Professor James Welsh, Associate Professor Tristan Perez |
Scheme | Project Grant |
Role | Lead |
Funding Start | 2008 |
Funding Finish | 2009 |
GNo | G0189787 |
Type Of Funding | Grant - Aust Non Government |
Category | 3AFG |
UON | Y |
Application of System Identification to Parameter Estimation in the Power Industry$10,000
Funding body: Connell Wagner Pty Ltd
Funding body | Connell Wagner Pty Ltd |
---|---|
Project Team | Associate Professor James Welsh |
Scheme | Project Grant |
Role | Lead |
Funding Start | 2008 |
Funding Finish | 2008 |
GNo | G0189292 |
Type Of Funding | Contract - Aust Non Government |
Category | 3AFC |
UON | Y |
20073 grants / $411,700
Robust Experiment Design for Dynamical System Identification$400,000
Funding body: ARC (Australian Research Council)
Funding body | ARC (Australian Research Council) |
---|---|
Project Team | Associate Professor James Welsh, Emeritus Laureate Professor Graham Goodwin |
Scheme | Discovery Projects |
Role | Lead |
Funding Start | 2007 |
Funding Finish | 2009 |
GNo | G0186348 |
Type Of Funding | Aust Competitive - Commonwealth |
Category | 1CS |
UON | Y |
Parameter estimation of synchronous machines - a review of results and methods of generator parameter estimation for Bayswater - Project No 24496-001$10,000
Funding body: Connell Wagner Pty Ltd
Funding body | Connell Wagner Pty Ltd |
---|---|
Project Team | Associate Professor James Welsh |
Scheme | Project Grant |
Role | Lead |
Funding Start | 2007 |
Funding Finish | 2007 |
GNo | G0188041 |
Type Of Funding | Contract - Aust Non Government |
Category | 3AFC |
UON | Y |
European Control Conference 2007, Kos Greece, 2/7/2007 - 5/7/2007$1,700
Funding body: University of Newcastle
Funding body | University of Newcastle |
---|---|
Project Team | Associate Professor James Welsh |
Scheme | Travel Grant |
Role | Lead |
Funding Start | 2007 |
Funding Finish | 2007 |
GNo | G0187735 |
Type Of Funding | Internal |
Category | INTE |
UON | Y |
20062 grants / $141,888
New System Identification Techniques Utilising Misspecified Models$140,388
Funding body: ARC (Australian Research Council)
Funding body | ARC (Australian Research Council) |
---|---|
Project Team | Associate Professor James Welsh |
Scheme | Discovery Projects |
Role | Lead |
Funding Start | 2006 |
Funding Finish | 2008 |
GNo | G0185314 |
Type Of Funding | Aust Competitive - Commonwealth |
Category | 1CS |
UON | Y |
2006 American Control Conference 14-16 June 2006$1,500
Funding body: University of Newcastle
Funding body | University of Newcastle |
---|---|
Project Team | Associate Professor James Welsh |
Scheme | Travel Grant |
Role | Lead |
Funding Start | 2006 |
Funding Finish | 2006 |
GNo | G0186472 |
Type Of Funding | Internal |
Category | INTE |
UON | Y |
20041 grants / $13,000
Large Dynamic Range System Identification: Inconsistencies Between Time and Frequency Domain Estimation$13,000
Funding body: University of Newcastle
Funding body | University of Newcastle |
---|---|
Project Team | Associate Professor James Welsh |
Scheme | Early Career Researcher Grant |
Role | Lead |
Funding Start | 2004 |
Funding Finish | 2004 |
GNo | G0184905 |
Type Of Funding | Internal |
Category | INTE |
UON | Y |
Research Supervision
Number of supervisions
Current Supervision
Commenced | Level of Study | Research Title | Program | Supervisor Type |
---|---|---|---|---|
2024 | PhD | Hierarchical Approaches to Online and Offline Reinforcement Learning | PhD (Electrical Engineering), College of Engineering, Science and Environment, The University of Newcastle | Co-Supervisor |
2024 | PhD | New Technologies For Imaging Chronic Wounds | PhD (Medical Engineering), College of Engineering, Science and Environment, The University of Newcastle | Co-Supervisor |
2023 | PhD | Biological Neural Network Reconstruction by using Computer Vision and Neural Network | PhD (Electrical Engineering), College of Engineering, Science and Environment, The University of Newcastle | Principal Supervisor |
2022 | PhD | Speech Depression Recognition Using Deep Learning | PhD (Computer Science), College of Engineering, Science and Environment, The University of Newcastle | Co-Supervisor |
2022 | PhD | Autonomous Collision Free Navigation of Non-Holonomic Mobile Robots in Unknown Tunnel Environments | PhD (Electrical Engineering), College of Engineering, Science and Environment, The University of Newcastle | Co-Supervisor |
2022 | PhD | Road Features Extraction Based on Fusion of Point Cloud and Camera Image Detection | PhD (Computer Engineering), College of Engineering, Science and Environment, The University of Newcastle | Principal Supervisor |
Past Supervision
Year | Level of Study | Research Title | Program | Supervisor Type |
---|---|---|---|---|
2023 | PhD | Investigation of Methods for Synthetic CT Generation, Evaluation and Implementation for Male and Female Pelvis MRI-only Radiotherapy | PhD (Physics), College of Engineering, Science and Environment, The University of Newcastle | Co-Supervisor |
2023 | PhD | Computationally Efficient Simulation of Calcium Signaling in Cardiomyocytes | PhD (Medical Engineering), College of Engineering, Science and Environment, The University of Newcastle | Principal Supervisor |
2022 | PhD | Privacy-preserving Control of Multiagent System | PhD (Electrical Engineering), College of Engineering, Science and Environment, The University of Newcastle | Co-Supervisor |
2021 | PhD | Theoretical Analysis and Practical Applications of Continuous-time System Identification | PhD (Electrical Engineering), College of Engineering, Science and Environment, The University of Newcastle | Principal Supervisor |
2021 | PhD | Convolutional Neural Networks for Image Segmentation in Clinical Applications | PhD (Electrical Engineering), College of Engineering, Science and Environment, The University of Newcastle | Principal Supervisor |
2019 | PhD | Manifold Alignment through Deep Autoencoders | PhD (Computer Science), College of Engineering, Science and Environment, The University of Newcastle | Co-Supervisor |
2019 | PhD | Innovative Data-Driven Modeling and Control for Nonlinear Systems using Volterra Series | PhD (Electrical Engineering), College of Engineering, Science and Environment, The University of Newcastle | Principal Supervisor |
2018 | PhD | Multi-Objective Optimisation of an Integrated Sugar Mill for Economic Enhancement | PhD (Electrical Engineering), College of Engineering, Science and Environment, The University of Newcastle | Principal Supervisor |
2018 | Masters | The Practical Field Measurement Challenges of Transformer FRA and Developing the Fundamentals for an On-line Approach | M Philosophy(Elec Engineering), College of Engineering, Science and Environment, The University of Newcastle | Co-Supervisor |
2017 | PhD | Enhanced Methods for System Identification employing Instrumental Variables, Regularization and Useful Redundancy | PhD (Electrical Engineering), College of Engineering, Science and Environment, The University of Newcastle | Principal Supervisor |
2015 | PhD | MEMS-Based Nanopositioning for On-Chip High-Speed Scanning Probe Microscopy | PhD (Electrical Engineering), College of Engineering, Science and Environment, The University of Newcastle | Co-Supervisor |
2014 | PhD | Multiple Hypothesis Methods for Robot Self Localisation | PhD (Computer Engineering), College of Engineering, Science and Environment, The University of Newcastle | Principal Supervisor |
2014 | PhD | Control and Estimation Techniques for High-Bandwidth Dynamic Mode Atomic Force Microscopy | PhD (Electrical Engineering), College of Engineering, Science and Environment, The University of Newcastle | Co-Supervisor |
2013 | PhD | A Probabilistic Framework for the Assessment of Robust Autonomy in Unmanned Aircraft Systems | PhD (Mechanical Engineering), College of Engineering, Science and Environment, The University of Newcastle | Co-Supervisor |
2013 | PhD | Online Constrained Receding Horizon Control for Astronomical Adaptive Optics | PhD (Electrical Engineering), College of Engineering, Science and Environment, The University of Newcastle | Co-Supervisor |
2012 | PhD | Improved Humanoid Robot Movement through Impact Perception and Walk Optimisation | PhD (Computer Engineering), College of Engineering, Science and Environment, The University of Newcastle | Principal Supervisor |
2011 | PhD | Power Transformer Modelling to Support the Interpretation of Frequency Response Analysis | PhD (Electrical Engineering), College of Engineering, Science and Environment, The University of Newcastle | Principal Supervisor |
2008 | PhD | Robust Experiment Design | PhD (Electrical Engineering), College of Engineering, Science and Environment, The University of Newcastle | Principal Supervisor |
Research Collaborations
The map is a representation of a researchers co-authorship with collaborators across the globe. The map displays the number of publications against a country, where there is at least one co-author based in that country. Data is sourced from the University of Newcastle research publication management system (NURO) and may not fully represent the authors complete body of work.
Country | Count of Publications | |
---|---|---|
Australia | 127 | |
Sweden | 27 | |
France | 8 | |
Netherlands | 6 | |
Israel | 4 | |
More... |
News
News • 23 Aug 2017
Global collaborations receive funding
Two UON researchers will have their work funded thanks to the Global Connections Fund, which provides initial funding support to promote Australian researchers and Small to Medium Enterprises collaboration.
Associate Professor James Welsh
Position
Associate Professor
School of Engineering
College of Engineering, Science and Environment
Focus area
Electrical and Computer Engineering
Contact Details
james.welsh@newcastle.edu.au | |
Phone | (02) 4921 6087 |
Fax | (02) 4921 6993 |
Office
Room | EA.G27 |
---|---|
Building | Engineering A Building |
Location | Callaghan University Drive Callaghan, NSW 2308 Australia |