Dr Ramon Delgado Pulgar

Dr Ramon Delgado Pulgar

Research Academic

School of Electrical Engineering and Computing

Career Summary

Biography

Dr Ramon Delgado received his professional title of Ingeniero Civil Electrónico and Master degree in Electronic Engineering from Universidad Santa María, Chile, in 2009. He received his PhD in electrical engineering in 2014 from the University of Newcastle. Dr Delgado is currently a Research Academic at the University of Newcastle. In his current role, Dr Delgado is mainly focussed on the current collaboration project between the University of Newcastle and the Swedish company Ericsson AB.

His research interests include system identification, control and signal processing.



Qualifications

  • Doctor of Philosophy, University of Newcastle
  • Bachelor of Engineering (Electrical), Santa Maria Technical University - Chile

Keywords

  • Control
  • Signal Processing
  • Simulations
  • System Identification
  • Systems and control
  • mathematical modeling
  • optimization

Languages

  • Spanish (Mother)
  • English (Fluent)

Fields of Research

Code Description Percentage
090699 Electrical and Electronic Engineering not elsewhere classified 75
010299 Applied Mathematics not elsewhere classified 15
080199 Artificial Intelligence and Image Processing not elsewhere classified 10

Professional Experience

Academic appointment

Dates Title Organisation / Department
7/07/2014 -  Research Academic Faculty of Engineering and Built Environment - The University of Newcastle (Australia)
Australia

Invitations

External Examiner

Year Title / Rationale
2017 Identification and control methods utilizing rank and cardinality constraints

Keynote Speaker

Year Title / Rationale
2016 Low-rank and low-cardinality as hard constraints in optimization problems
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Publications

For publications that are currently unpublished or in-press, details are shown in italics.

Highlighted Publications

Year Citation Altmetrics Link
2012 Delgado Pulgar RA, Goodwin GC, Carvajal R, Aguero JC, 'A novel approach to model error modelling using the Expectation-Maximization algorithm', Proceedings of the 51st IEEE Conference on Decision and Control, Maui, Hawaii (2012) [E1]
Citations Scopus - 9Web of Science - 5
Co-authors Graham Goodwin
2016 Delgado RA, Agueero JC, Goodwin GC, 'A novel representation of rank constraints for real matrices', LINEAR ALGEBRA AND ITS APPLICATIONS, 496 452-462 (2016) [C1]
DOI 10.1016/j.laa.2016.02.008
Citations Scopus - 6Web of Science - 6
Co-authors Graham Goodwin

Journal article (8 outputs)

Year Citation Altmetrics Link
2018 Wigren T, Lau K, Delgado R, Middleton RH, 'Delay Skew Packet Flow Control in Wireless Systems with Dual Connectivity', IEEE Transactions on Vehicular Technology, 67 5357-5371 (2018) [C1]
DOI 10.1109/TVT.2018.2808533
Citations Scopus - 1
Co-authors Richard Middleton
2018 Delgado R, Chen Z, Middleton RH, 'Stepwise Tikhonov Regularisation: Application to the Prediction of HIV-1 Drug Resistance', IEEE/ACM Transactions on Computational Biology and Bioinformatics, (2018)

IEEE This paper focuses on constructing genotypic predictors for antiretroviral drug susceptibility of HIV. To this end, a method to recover the largest elements of an unknown vec... [more]

IEEE This paper focuses on constructing genotypic predictors for antiretroviral drug susceptibility of HIV. To this end, a method to recover the largest elements of an unknown vector in a least squares problem is developed. The proposed method introduces two novel ideas. The first idea is a novel forward stepwise selection procedure based on the magnitude of the estimates of the candidate variables. To implement this newly introduced procedure, we revise Tikhonov regularisation from a sparse representations' perspective. This analysis leads us to the second novel idea in the paper, which is the development of a new method to recover the largest elements of the unknown vector in the least squares problem. The method implements a sequence of Tikhonov regularisation problems which aim to recover the largest of the remaining elements of the unknown vector. Additionally, we derive sufficient conditions that ensure the recovery of the largest elements of the unknown vector. We perform numerical studies using simulated data and data from the Stanford HIV resistance database. The performance of the proposed method is compared against a state-of-the-art method.

DOI 10.1109/TCBB.2018.2849369
Co-authors Zhiyong Chen, Richard Middleton
2018 Delgado RA, Lau K, Middleton RH, Wigren T, 'Networked Delay Control for 5G Wireless Machine-Type Communications Using Multiconnectivity', IEEE Transactions on Control Systems Technology, (2018)

IEEE Automatic control using ultrareliable and low latency communication is one of the potential applications of the new fifth-generation wireless systems. A remaining challenge i... [more]

IEEE Automatic control using ultrareliable and low latency communication is one of the potential applications of the new fifth-generation wireless systems. A remaining challenge is then to guarantee a low end-to-end delay with low jitter over combined internet and wireless interfaces that are packet switched and capacity optimized. The main novelty of this paper is to introduce stringent delay control to meet this challenge, over simultaneous multiple data paths. The proposed multiple-input-multiple-output (MIMO) cascade control system is nonlinear since the dwell times of the transmission node queues used as actuators cannot be negative. Stability analysis based on integral quadratic constraint theory is, therefore, applied to characterize the global stability of the controller. The practical performance is evaluated with experiments using product like test bed C++ code. It is stressed that the proposed controller does not require internode time synchronization.

DOI 10.1109/TCST.2018.2813328
Citations Scopus - 1
Co-authors Richard Middleton
2017 Aguilera RP, Urrutia G, Delgado RA, Dolz D, Aguero JC, 'Quadratic Model Predictive Control Including Input Cardinality Constraints', IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 62 3068-3075 (2017) [C1]
DOI 10.1109/TAC.2017.2674185
Citations Scopus - 2Web of Science - 2
2016 Delgado RA, Agueero JC, Goodwin GC, 'A novel representation of rank constraints for real matrices', LINEAR ALGEBRA AND ITS APPLICATIONS, 496 452-462 (2016) [C1]
DOI 10.1016/j.laa.2016.02.008
Citations Scopus - 6Web of Science - 6
Co-authors Graham Goodwin
2014 Delgado RA, Goodwin GC, 'A combined MAP and Bayesian scheme for finite data and/or moving horizon estimation', AUTOMATICA, 50 1116-1121 (2014) [C1]
DOI 10.1016/j.automatica.2014.02.001
Citations Scopus - 2Web of Science - 2
Co-authors Graham Goodwin
2012 Aguero JC, Tang W, Yuz JI, Delgado Pulgar RA, Goodwin GC, 'Dual time-frequency domain system identification', Automatica, 48 3031-3041 (2012) [C1]
DOI 10.1016/j.automatica.2012.08.033
Citations Scopus - 21Web of Science - 15
Co-authors Graham Goodwin
2010 Aguero JC, Yuz JI, Goodwin GC, Delgado RA, 'On the equivalence of time and frequency domain maximum likelihood estimation', Automatica, 46 260-270 (2010) [C1]
DOI 10.1016/j.automatica.2009.10.038
Citations Scopus - 44Web of Science - 30
Co-authors Graham Goodwin
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Conference (16 outputs)

Year Citation Altmetrics Link
2018 Delgado RA, Wigren T, Lau K, Middleton RH, 'Stability properties of a MIMO data flow controller', Proceedings of the 2018 American Control Conference (ACC), Milwaukee, Wisconsin (2018) [E1]
DOI 10.23919/ACC.2018.8431500
Citations Scopus - 1
Co-authors Richard Middleton
2017 Carrasco DS, Matthews AD, Goodwin GC, Delgado RA, Medioli AM, 'Design of MDIs for Type 1 Diabetes Treatment via Rolling Horizon Cardinality-Constrained Optimisation', IFAC PAPERSONLINE, Toulouse, FRANCE (2017) [E1]
DOI 10.1016/j.ifacol.2017.08.2516
Co-authors Graham Goodwin
2017 Lau K, Wigren T, Delgado R, Middleton RH, 'Disturbance Rejection Properties for a 5G Networked Data Flow Delay Controller', 2017 IEEE 56TH ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC), Melbourne, AUSTRALIA (2017) [E1]
Citations Scopus - 2
Co-authors Richard Middleton
2017 Delgado RA, Lau K, Middleton R, Karlsson RS, Wigren T, Sun Y, 'Fast Convergence Outer Loop Link Adaptation With Infrequent Updates In Steady State', 2017 IEEE 86TH VEHICULAR TECHNOLOGY CONFERENCE (VTC-FALL), Toronto, CANADA (2017) [E1]
Citations Scopus - 1
Co-authors Richard Middleton
2017 Middleton RH, Wigren T, Lau K, Delgado RA, 'Data Flow Delay Equalization for Feedback Control Applications Using 5G Wireless Dual Connectivity', 2017 IEEE 85th Vehicular Technology Conference (VTC Spring): Proceedings, Sydney, Australia (2017) [E1]
DOI 10.1109/VTCSpring.2017.8108608
Citations Scopus - 5
Co-authors Richard Middleton
2016 Urrutia G, Delgado R, Carvajal R, Katselis D, Aguero JC, 'Sparse Logistic Regression utilizing Cardinality Constraints and Information Criteria', 2016 IEEE CONFERENCE ON CONTROL APPLICATIONS (CCA), Buenos Aires, ARGENTINA (2016) [E1]
2016 Urrutia G, Delgado RA, Agüero JC, 'Low-order control design using a novel rank-constrained optimization approach', 2016 Australian Control Conference, AuCC 2016, Newcastle, NSW (2016) [E1]
DOI 10.1109/AUCC.2016.7867929
Citations Scopus - 1Web of Science - 1
2016 Baidya R, Aguilera RP, Acuna P, Delgado R, Geyer T, Quevedo D, Mouton T, 'Fast multistep finite control set model predictive control for transient operation of power converters', Proceedings of the IECON2016 - 42nd Annual Conference of the Industrial Electronics Society, Florence, Italy (2016) [E1]
DOI 10.1109/IECON.2016.7793404
Citations Scopus - 5Web of Science - 5
2015 Delgado RA, Agüero JC, Goodwin GC, Mendes EMAM, 'Application of rank-constrained optimisation to nonlinear system identification', IFAC Proceedings Volumes (IFAC-PapersOnline) (2015) [E1]

Nonlinear System identification has a rich history spanning at least 5 decades. A very flexible approach to this problem depends upon the use of Volterra series expansions. Relate... [more]

Nonlinear System identification has a rich history spanning at least 5 decades. A very flexible approach to this problem depends upon the use of Volterra series expansions. Related work includes Hammerstein models, where a static nonlinearity is followed by a linear dynamical system, and Wiener models, where a static nonlinearity is inserted after a linear dynamical model. A problem with these methods is that they inherently depend upon series type expansions and hence it is difficult to know which terms should be included. In this paper we present a possible solution to this problem using recent results on rank-constrained optimization. Simulation results are included to illustrate the efficacy of the proposed strategy.

DOI 10.1016/j.ifacol.2015.09.290
Citations Scopus - 4
Co-authors Graham Goodwin
2014 Aguilera RP, Delgado R, Dolz D, Agüero JC, 'Quadratic MPC with l 0-input constraint', IFAC Proceedings Volumes (IFAC-PapersOnline), Cape Town, South Africa (2014) [E1]
DOI 10.3182/20140824-6-ZA-1003.01844
Citations Scopus - 8Web of Science - 1
2014 Delgado RA, Aguero JC, Goodwin GC, 'A Rank-Constrained Optimization Approach: Application to Factor Analysis', Proceedings of the 19th IFAC World Congress, Cape Town (2014) [E1]
DOI 10.3182/20140824-6-ZA-1003.02690
Citations Scopus - 8
Co-authors Graham Goodwin
2012 Delgado Pulgar RA, Goodwin GC, Feuer A, 'An on-line MUSIC algorithm with applications to sparse signal reconstruction', MTNS 2012: 20th International Symposium on Mathematical Theory of Networks and Systems Proceedings, Melbourne (2012) [E1]
Co-authors Graham Goodwin
2012 Delgado Pulgar RA, Goodwin GC, Carvajal R, Aguero JC, 'A novel approach to model error modelling using the Expectation-Maximization algorithm', Proceedings of the 51st IEEE Conference on Decision and Control, Maui, Hawaii (2012) [E1]
Citations Scopus - 9Web of Science - 5
Co-authors Graham Goodwin
2012 Carvajal R, Delgado Pulgar RA, Aguero JC, Goodwin GC, 'An identification method for Errors-in-Variables systems using incomplete data', Proceedings 16th IFAC Symposium on System Identification, Brussels, Belgium (2012) [E1]
Citations Scopus - 3
Co-authors Graham Goodwin
2011 Delgado Pulgar RA, Aguero JC, Goodwin GC, Yuz JI, 'Two-degree-of-freedom anti-aliasing technique for wide-band networked control', Proceedings of the 18th IFAC World Congress, 2011, Milano, Italy (2011) [E1]
DOI 10.3182/20110828-6-it-1002.02710
Citations Scopus - 1
Co-authors Graham Goodwin
2009 Delgado RA, Yuz JI, Aguero JC, Goodwin GC, 'A numerical study of time and frequency domain maximum likelihood estimation', Proceedings of the 15th IFAC Symposium on System Identification, Saint-Malo, France (2009) [E1]
DOI 10.3182/20090706-3-fr-2004.0322
Co-authors Graham Goodwin
Show 13 more conferences

Thesis / Dissertation (1 outputs)

Year Citation Altmetrics Link
2014 Delgado Pulgar RA, Rank constraints and error quantification in restricted complexity problems, The University of Newcastle (2014)
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Grants and Funding

Summary

Number of grants 1
Total funding $3,500

Click on a grant title below to expand the full details for that specific grant.


20161 grants / $3,500

FEBE Equipment grant$3,500

Equipment for GPU computing

Funding body: Faculty of Engineering and Built Environment - The University of Newcastle (Australia)

Funding body Faculty of Engineering and Built Environment - The University of Newcastle (Australia)
Scheme FEBE Equipment Grant
Role Lead
Funding Start 2016
Funding Finish 2017
GNo
Type Of Funding Internal
Category INTE
UON N
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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 23
Chile 9
Sweden 6
Germany 2
United States 2
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Dr Ramon Delgado Pulgar

Position

Research Academic
School of Electrical Engineering and Computing
Faculty of Engineering and Built Environment

Contact Details

Email ramon.delgado@newcastle.edu.au
Phone (02) 4921 7116
Link Personal webpage

Office

Room EAG02
Building Engineering A Building
Location Callaghan
University Drive
Callaghan, NSW 2308
Australia
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