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Conjoint Professor Daniel Quevedo

Conjoint Professor

School of Engineering (Electrical and Computer Engineering)

Cause for pause: Hopping from hardwires to no wires at all

Identifying a gap between our theoretical understanding of wireless senso-actuator network technology and its real-world applications, Associate Professor Daniel Quevedo is seeking to remedy shortfalls of time-honoured paradigms in engineering science and bridge 'what is' with 'what could be'.

Associate Professor Daniel Quevedo 

Associate Professor Daniel Quevedo is a problem solver. Combining elements of systems control, signal processing, and wireless communications to develop original, high-performance engineering designs, he is also scientifically curious about everyday technology.

'My research is about finding ways to enhance the existing uses of embedded processors for the control of networked systems,' he explains.

'I want to enable novel functionality too.'

Building on the emergence of networked systems, as well as what we already know about associated wireless and computational technology, Quevedo is looking to provide solid theoretical foundations and practical solutions for real-world problems. Similarly addressing the current challenges these new technologies present, the Chilean native is duly working to revise contemporary understanding of industrial control processes and cyberphysical systems.

'It is by no means clear how to harness their potential,' he admits.

'A common thread is that many of the standard paradigms which allow the separation of computation, communications, and control are no longer valid.'

Quevedo began addressing such inadequacies when he moved to Australia to undertake a PhD in 2001.

Opting to study a specific class of engineering design problem where decision variables are limited to a prescribed set of values, his approach complemented elements of systems control with those of signal processing and information theory. Quevedo also sought to design model predictive controllers for power electronics during his candidateship, working within available constraints to improve future and current energy conversion methods. In doing so, he opened the door to access a variety of situations where traditional methods have only been able to give partial and unsatisfactory answers.

'I was able to formulate and resolve design problems within a solid quantised control framework,' he declares.

'This allows for powerful solutions to be obtained in a systematic manner.'

From stumbling blocks to stepping stones

Chiefly interested in understanding how we can take full advantage of networked control system technology in factory settings, the engineering scientist is looking at ways to replace outdated hardwired communication links.

'The advantages of wireless are enormous,' he enthuses.

'It's much easier to install and maintain, it saves space and weight, and it increases system flexibility.'

'Wireless devices can also be placed where wires cannot go, as well as where power sockets are not available.'

To design new closed loop control systems so that they work over the current protocols for wireless communications, Quevedo is studying measurements of wireless sensors set up in factories and other buildings. He is also in the process of building a mathematical model of the situation and investigating the types of optimisations needed to achieve efficient operation.

'Our key challenge is to overcome the bottlenecks caused by limitations in communication and computational resources,' he states.

'But we still need to respect fundamental stability and performance limitations.'

International industry engagement

Quevedo has also had a hand in research that led to two international patents.

The first saw him collaborate with Ericsson to develop power control and algorithms for cellular systems. Working on the basic condition that increased power usage leads to decreased battery life, the team analysed mobile phone activity at Ericsson's base stations to better understand network tradeoffs and their implications for the average user. Also wanting to avoid associated problems with system overload, they formulated a precise balance between sustained cellular reception and power usage.

'To make efficient use of available resources, these controls are essential,' Quevedo says.

The trilinguist's more recent patent similarly underlies many industrial applications. This time collaborating with ABB Corporate Research Switzerland, a global leader in automation and power technologies, Quevedo modified existing control designs to boost the performance of power converters in renewable energy and smart grid contexts.

Well-travelled and well-equipped

Juggling publications in top international journals, external thesis examinations for universities in Germany and France, as well as expert assessments for the Australian Research Council and Chilean Commission of Scientific Technological Research, Quevedo is soon set to throw a few more responsibilities into the mix. Having just been named runner-up in the Engineering and Technology Category for the 2014 Scopus Young Researcher of the Year Awards, this list of accomplishments is vast and ongoing.

Perhaps most impressively, next year he will give a semi-plenary talk at the International Federation of Automatic Control Conference on Nonlinear Model Predictive Control. Quevedo is also Editor of the International Journal of Robust and Nonlinear Control, Associate Editor of the Australian Control Conference, and was a member of PhD Candidacy Examination Committees at Notre Dame University in the United States and Stellenbosch University in South Africa.

Long-term logistics

Believing networked control systems should 'simply work,' even in the presence of uncertainties in availability of energy, computation and communication resources, Quevedo anticipates a winding road ahead for engineering science and related technology fields.

'It will all come down to how well we're able to translate the plug-and-play functionality of the Internet to these distributed systems,' he says.

'We'll need to learn from established design techniques and develop new ones.'

Associate Professor Daniel Quevedo

Cause for pause: Hopping from hardwires to no wires at all

Identifying a gap between our theoretical understanding of wireless senso-actuator network technology and its real-world applications, Associate Professor Dani

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Career Summary

Biography

I was born in Lima, Perú, and brought up in Germany and Chile, where I studied electronics engineering at the Universidad Técnica Federico Santa María. In 1998, I received the B. Eng. degree, worked then as a part-time lecturer, and in 2000 graduated with Ingeniero Civil Electrónico and M.Sc. degrees. I then moved to Australia to pursue postgraduate studies under supervision of Professor Graham Goodwin. In 2005 I was conferred the Ph.D. degree from The University of Newcastle for my work on quantized moving horizon optimization.

After working as a research associate from 2006 to 2008, I was awarded a five-year Australian Research Fellowship, which allowed me to investigate networked control systems.  From 2011 to 2013 I led an Australian Research Council Discovery Project on controller design for power converters and, since 2013, have been leading an ABB research project on modular energy systems. Since March 2015 I have been the Chair of Control and Automation at Paderborn University in Germany.

Research Expertise
My research has focused on several issues which arise in networked control systems, quantisation schemes having explicit or implicit feedback, and predictive control formulations. To develop original and high-performance designs, I am interested in combining elements of systems control, signal processing, and telecommunications.

Collaborations
I have had the pleasure of collaborating with various distinguished researchers from Europe, the Americas, Asia and Australia, each with their own style. My current coauthors are with institutions, such as: Uppsala University and KTH Stockholm (Sweden), Kyoto University (Japan), The University of Notre Dame (USA), Universidad Técnica Federico Santa María (Chile), IIT Bombay (India), INRIA Grenoble (France), Aalborg University (Denmark), University of Stuttgart (Germany), ABB Corporate Research (Switzerland), Universidad de Sevilla (Spain), Hong Kong University of Science and Technology, and The University of Melbourne (Australia).


Qualifications

  • PhD, University of Newcastle
  • Master of Engineering (Electronic), Universidad Tecnica Federico Santa Maria - Chile
  • Bachelor of Engineering (Electrical), Universidad Tecnica Federico Santa Maria - Chile

Keywords

  • Control Systems
  • Cyber-physical Systems
  • Model Predictive Control
  • Networked Control Systems
  • Power Electronics

Languages

  • German (Fluent)
  • Spanish (Fluent)

Fields of Research

CodeDescriptionPercentage
010299Applied Mathematics not elsewhere classified70
090699Electrical and Electronic Engineering not elsewhere classified30

Professional Experience

UON Appointment

DatesTitleOrganisation / Department
28/01/2015 - 20/03/2015Associate ProfessorUniversity of Newcastle
School of Elect Engineering and Computer Science
Australia
31/08/2009 - 25/09/2009LecturerUniversity of Newcastle
School of Engineering
Australia

Academic appointment

DatesTitleOrganisation / Department
1/03/2015 - ProfessorPaderborn University
Germany
1/01/2014 - Editor - International Journal of Robust and Nonlinear ControlInternational Journal of Robust and Nonlinear Control
Australia
1/07/2012 - 1/03/2015Associate ProfessorUniversity of Newcastle
School of Elect Engineering and Computer Science
Australia
1/01/2009 - 1/01/2014Fellowship
ARC - Discovery - Projects (including Australian Professorial Fellowships, Queen Elizabeth II Fellowships, and Australian Postdoctoral Fellowships))
University of Newcastle
School of Elect Engineering and Computer Science
Australia
1/01/2009 - 1/01/2014Australian Research FellowUniversity of Newcastle
School of Elect Engineering and Computer Science
Australia
1/01/2005 - 1/12/2008Research AssociateUniversity of Newcastle
School of Elect Engineering and Computer Science
Australia

Awards

Distinction

YearAward
2000Alumni Association Award
Universidad Tecnica Federico Santa Maria
2000Best Electronics Engineering Student Award
Universidad Tecnica Federico Santa Maria

Research Award

YearAward
2012University of Newcastle Vice-Chancellor’s Award for Research Excellence
University of Newcastle
2009Pro Vice-Chancellor's Award for Research Excellence
University of Newcastle
2003Faculty of Engineering and Built Environment Prize for the Best Research Paper
University of Newcastle - Faculty of Engineering & Built Environment
2003IEEE Conference on Decision and Control Best Student-Paper Award
IEEE Control Systems Society
2002IEEE Conference on Decision and Control Best Student-Paper Award Finalist
IEEE Control Systems Society

Invitations

Speaker

YearTitle / Rationale
2012Seminar at the Department of Electrical Engineering
Organisation: University of Notre Dame
2012Seminar at the Department of Electronic & Computer Engineering
Organisation: Hong Kong University of Science and Technology
2011Seminar at the Departement d’Automatique de Grenoble
Organisation: GIPSA-Lab
2010Lecture at the Workshop on Predictive Control
Organisation: IEEE International Conference on Industrial Technology (ICIT 2010)
2010Seminar at the Department of Applied Mathematics and Physics
Organisation: Kyoto University
2010Seminar at the School of Electrical Engineering
Organisation: Royal Institute of Technology (KTH) Stockholm
2008Seminar at the Department of Electronics and Informatics
Organisation: University of Padova
2006Seminar at the Institute of Automatic Control Engineering (LSR)
Organisation: Technische Universität München
2005Seminar at the Department of Electronics Engineering
Organisation: Universidad Técnica Federico Santa María
2004Seminar at the Department of Information Technology and Electrical Engineering
Organisation: Swiss Federal Institute of Technology (ETH), Zurich
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Publications

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


Chapter (8 outputs)

YearCitationAltmetricsLink
2014Quevedo DE, Aguilera RP, Geyer T, 'Predictive control in power electronics and drives: Basic concepts, theory, and methods', Advanced and Intelligent Control in Power Electronics and Drives, Springer, Cham 181-226 (2014) [B1]
DOI10.1007/978-3-319-03401-0_5
CitationsScopus - 3
2014Jurado I, Quevedo DE, Johansson KH, Ahlén A, 'Cooperative Dynamic MPC for Networked Control Systems', Distributed Model Predictive Control Made Easy, Springer, Berlin 357-373 (2014) [B1]
DOI10.1007/978-94-007-7006-5_22
2014Quevedo DE, Aguilera RP, Geyer T, 'Predictive control in power electronics and drives: Basic concepts, theory, and methods', 181-226 (2014) [B1]

In this chapter we revise basic principles and methods of model predictive control with a view towards applications in power electronics and drives. The simplest predictive control formulations use horizon-one cost functions, which can be related to well-established dead-beat controllers. Model predictive control using larger horizons has the potential to give significant performance benefits, but requires more computations at each sampling instant to solve the associated optimization problems. For particular classes of system models, we discuss practical algorithms, which make long-horizon predictive control suitable for power electronics applications. © Springer International Publishing Switzerland 2014.

DOI10.1007/978-3-319-03401-0_5
CitationsScopus - 3
2014Jurado I, Quevedo DE, Johansson KH, Ahlén A, 'Cooperative Dynamic MPC for Networked Control Systems', , Kluwer Academic Publishers 357-373 (2014) [B1]

This work studies cooperative MPC for Networked Control Systems with multiple wireless nodes. Communication between nodes is affected by random packet dropouts. An algorithm is presented to decide at each time instant which nodes will calculate the control input and which will only relay data. The nodes chosen to calculate the control values solve a cooperative MPC by communicating with their neighbors. This algorithm makes the control architecture flexible by adapting it to the possible changes in the network conditions. © Springer Science+Business Media Dordrecht 2014.

DOI10.1007/978-94-007-7006-5_22
2009Goodwin GC, Ostergaard J, Quevedo DE, Feuer A, 'A vector quantization approach to scenario generation for stochastic nmpc', Nonlinear Model Predictive Control: Towards New Challenging Applications, Springer, Berlin 235-248 (2009) [B1]
DOI10.1007/978-3-642-01094-1
CitationsScopus - 4Web of Science - 4
Co-authorsGraham Goodwin
2009Quevedo DE, Ahlen A, Goodwin GC, 'Predictive power control of wireless sensor networks for closed loop control', Nonlinear Model Predictive Control: Towards New Challenging Applications, Springer, Berlin 215-224 (2009) [B1]
DOI10.1007/978-3-642-01094-1
CitationsScopus - 3Web of Science - 2
Co-authorsGraham Goodwin
2005Quevedo DE, 'Finite alphabet controllers and estimators', Constrained Control and Estimation: An Optimisation Approach, Springer-Verlag, London 295-319 (2005) [B1]
DOI10.1007/1-84628-063-X_13
2005Welsh JS, Haimovich H, Quevedo DE, 'Control over communication networks', Constrained Control and Estimation: An Optimisation Approach, Springer-Verlag, London 361-400 (2005) [B1]
DOI10.1007/1-84628-063-X_16
Co-authorsJames Welsh
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Journal article (55 outputs)

YearCitationAltmetricsLink
2015Wu J, Li Y, Quevedo DE, Lau V, Shi L, 'Data-driven power control for state estimation: A Bayesian inference approach', Automatica, 54 332-339 (2015)

We consider sensor transmission power control for state estimation, using a Bayesian inference approach. A sensor node sends its local state estimate to a remote estimator over an unreliable wireless communication channel with random data packet drops. As related to packet dropout rate, transmission power is chosen by the sensor based on the relative importance of the local state estimate. The proposed power controller is proved to preserve Gaussianity of local estimate innovation, which enables us to obtain a closed-form solution of the expected state estimation error covariance. Comparisons with alternative non-data-driven controllers demonstrate performance improvement using our approach.

DOI10.1016/j.automatica.2015.02.019
2015Vazquez S, Marquez A, Aguilera R, Quevedo D, Leon JI, Franquelo LG, 'Predictive Optimal Switching Sequence Direct Power Control for Grid-Connected Power Converters', IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 62 2010-2020 (2015)
DOI10.1109/TIE.2014.2351378Author URL
2015Quevedo DE, Ma W-J, Gupta V, 'Anytime control using input sequences with markovian processor availability', IEEE Transactions on Automatic Control, 60 515-521 (2015)

We study an anytime control algorithm for situations where the processing resources available for control are time-varying in an a priori unknown fashion. At times, processing resources are insufficient to calculate control inputs. To address this issue, the algorithm calculates sequences of tentative future control inputs whenever possible, which are then buffered for possible future use. We assume that the processor availability is correlated so that the number of control inputs calculated at any time step is described by a Markov chain. Using a Lyapunov function based approach we derive sufficient conditions for stochastic stability of the closed loop.

DOI10.1109/TAC.2014.2335311
CitationsWeb of Science - 1
2015Geyer T, Quevedo DE, 'Performance of Multistep Finite Control Set Model Predictive Control for Power Electronics', IEEE TRANSACTIONS ON POWER ELECTRONICS, 30 1633-1644 (2015) [C1]
DOI10.1109/TPEL.2014.2316173Author URL
CitationsScopus - 3Web of Science - 3
2015Jurado I, Ortega MG, Quevedo DE, Rubio FR, 'An H 8 suboptimal robust control approach for systems with uncertainties and data dropouts', International Journal of Systems Science, 46 1971-1981 (2015)

This paper studies the design of control systems subject to plant uncertainties and data losses in the channel connecting the plant sensor with the controller. The controller design has two main objectives. The first one is to robustify the control law against plant uncertainties. The other one is to achieve good performance by minimising the variance of the error signal. Data losses are modelled as an independent and identically distributed sequence of Bernoulli random variables. For analysis and design, this random variable is replaced by an additive noise plus gain channel model. To cope with structural uncertainties in the model of the plant, an H8 control technique is employed. The controller is synthesised in order to make the closed-loop system robust against structural uncertainties of the nominal model, while achieving optimal performance of the system in the presence of dropouts.

DOI10.1080/00207721.2013.843733
2015Aguilera RP, Quevedo DE, 'Predictive Control of Power Converters: Designs With Guaranteed Performance', IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 11 53-63 (2015)
DOI10.1109/TII.2014.2363933Author URL
CitationsScopus - 1Web of Science - 1
2014Lje¿njanin M, Ne¿ic D, Quevedo DE, 'Packetized MPC with dynamic scheduling constraints and bounded packet dropouts', Automatica, 50 784-797 (2014)
DOI10.1016/j.automatica.2013.12.031
2014Lje¿njanin M, Quevedo DE, Ne¿ic D, 'Packetized MPC with dynamic scheduling constraints and bounded packet dropouts', Automatica, 50 784-797 (2014) [C1]

We study a Networked Control System architecture which uses a communication network in the controller-actuator links. The network is affected by packet dropouts and allows access to only one plant input node at each time instant. This limits control performance significantly. To mitigate these limitations we propose a control and network protocol co-design method. Succinctly, the underlying features of the proposed method are as follows: a sequence of predicted optimal control values over a finite horizon, for an optimally chosen input node, is obtained using Model Predictive Control ideas; the entire resulting sequence is sent to the chosen input node; a smart actuator is used to store the predictions received and apply them accordingly. We show that if the number of consecutive packet dropouts is uniformly bounded, then partial nonlinear gain l2 stability and also a more traditional linear gain l2 stability can be ensured via appropriate choice of design parameters and the right assumptions. Whilst our results apply to general nonlinear discrete-time multiple input plants affected by exogenous disturbances, for a disturbance-free case we prove that Global Asymptotic Stability follows from our main result. Moreover, we show that by imposing stronger assumptions, Input-to-State Stability is achievable as well. Finally we demonstrate the potential of the proposed method via simulations. © 2014 Elsevier Ltd. All rights reserved.

DOI10.1016/j.automatica.2013.12.031
CitationsScopus - 3Web of Science - 2
2014Nourian M, Leong AS, Dey S, Quevedo DE, 'An optimal transmission strategy for kalman filtering over packet dropping links with imperfect acknowledgements', IEEE Transactions on Control of Network Systems, 1 259-271 (2014) [C1]

This paper presents a novel design methodology for optimal transmission policies at a smart sensor to remotely estimate the state of a stable linear stochastic dynamical system. The sensor makes measurements of the process and forms estimates of the state using a local Kalman filter. The sensor transmits quantized information over a packet dropping link to the remote receiver. The receiver sends packet receipt acknowledgments back to the sensor via an erroneous feedback communication channel which is itself packet dropping. The key novelty of this formulation is that the smart sensor decides, at each discrete time instant, whether to transmit a quantized version of either its local state estimate or its local innovation. The objective is to design optimal transmission policies in order to minimize a long-term average cost function as a convex combination of the receiver's expected estimation error covariance and the energy needed to transmit the packets. Under high-resolution quantization assumptions, the optimal transmission policy is obtained by the use of dynamic programming techniques. Using the concept of submodularity, the optimality of a threshold policy in the case of scalar systems with perfect packet receipt acknowledgments is proved. Suboptimal solutions and their structural results are also discussed. Numerical results are presented, illustrating the performance of the optimal and suboptimal transmission policies.

DOI10.1109/TCNS.2014.2337975
CitationsScopus - 2
2014Quevedo DE, Gupta V, Ma W-J, Yueksel S, 'Stochastic Stability of Event-Triggered Anytime Control', IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 59 3373-3379 (2014) [C1]
DOI10.1109/TAC.2014.2351952Author URL
2014Quevedo DE, Jurado I, 'Stability of sequence-based control with random delays and dropouts', IEEE Transactions on Automatic Control, 59 1296-1302 (2014) [C1]

We study networked control of nonlinear systems where system states and tentative plant input sequences are transmitted over unreliable communication channels. The sequences are calculated recursively by using a pre-designed nominally stabilizing state-feedback control mapping to plant state predictions. The controller does not require receipt acknowledgments or knowledge of delay or dropout distributions. For the i.i.d. case, in which case the numbers of consecutive dropouts are geometrically distributed, we show how the resulting closed loop system can be modeled as a Markov nonlinear jump system and establish sufficient conditions for stochastic stability. © 1963-2012 IEEE.

DOI10.1109/TAC.2013.2286911
CitationsScopus - 2Web of Science - 1
2014Nagahara M, Quevedo DE, Ostergaard J, 'Sparse packetized predictive control for networked control over erasure channels', IEEE Transactions on Automatic Control, 59 1899-1905 (2014) [C1]

We study feedback control over erasure channels with packet-dropouts. To achieve robustness with respect to packet-dropouts, the controller transmits data packets containing plant input predictions, which minimize a finite horizon cost function. To reduce the data size of packets, we propose to adopt sparsity-promoting optimizations, namely, l1-l2 and l 2-constrained l0 optimizations, for which efficient algorithms exist. We show how to design the tuning parameters to ensure (practical) stability of the resulting feedback control systems when the number of consecutive packet-dropouts is bounded. © 1963-2012 IEEE.

DOI10.1109/TAC.2013.2294622
CitationsScopus - 3Web of Science - 2
2014Geyer T, Quevedo DE, 'Multistep finite control set model predictive control for power electronics', IEEE Transactions on Power Electronics, 29 6836-6846 (2014) [C1]

For direct model predictive control with reference tracking of the converter current, we derive an efficient optimization algorithm that allows us to solve the control problem for very long prediction horizons. This is achieved by adapting sphere decoding principles to the underlying optimization problem. The proposed algorithm requires only few computations and directly provides the optimal switch positions. Since the computational burden of our algorithm is effectively independent of the number of converter output levels, the concept is particularly suitable for multilevel topologies with a large number of voltage levels. Our method is illustrated for the case of a variable speed drive system with a three-level voltage source converter. © 2014 IEEE.

DOI10.1109/TPEL.2014.2306939
CitationsScopus - 5Web of Science - 5
2014Quevedo DE, Ostergaard J, Ahlen A, 'Power Control and Coding Formulation for State Estimation With Wireless Sensors', IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 22 413-427 (2014) [C1]
DOI10.1109/TCST.2013.2253464Author URL
CitationsScopus - 1
2014You K, Li Z, Quevedo DE, Lewis FL, 'Recent developments in networked control and estimation', IET Control Theory and Applications, 8 2123-2125 (2014) [C3]
DOI10.1049/iet-cta.2014.1080
2013Quevedo DE, Johansson KH, Ahlén A, Jurado I, 'Adaptive controller placement for wireless sensor-actuator networks with erasure channels', Automatica, 49 3458-3466 (2013) [C1]

Wireless sensor-actuator networks offer flexibility for control design. One novel element which may arise in networks with multiple nodes is that the role of some nodes does not need to be fixed. In particular, there is no need to pre-allocate which nodes assume controller functions and which ones merely relay data. We present a flexible architecture for networked control using multiple nodes connected in series over analog erasure channels without acknowledgments. The control architecture proposed adapts to changes in network conditions, by allowing the role played by individual nodes to depend upon transmission outcomes. We adopt stochastic models for transmission outcomes and characterize the distribution of controller location and the covariance of system states. Simulation results illustrate that the proposed architecture has the potential to give better performance than limiting control calculations to be carried out at a fixed node. © 2013 Elsevier Ltd. All rights reserved.

DOI10.1016/j.automatica.2013.08.024
CitationsScopus - 3Web of Science - 3
2013Quevedo DE, Gupta V, 'Sequence-Based Anytime Control', IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 58 377-390 (2013) [C1]
DOI10.1109/TAC.2012.2209977Author URL
CitationsScopus - 6Web of Science - 4
2013Quevedo DE, Ahlen A, Johansson KH, 'State Estimation Over Sensor Networks With Correlated Wireless Fading Channels', IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 58 581-593 (2013) [C1]
DOI10.1109/TAC.2012.2212515Author URL
CitationsScopus - 16Web of Science - 11
2013Quevedo DE, Ostergaard J, Silva EI, Nesic D, 'Packetized Predictive Control of Stochastic Systems Over Bit-Rate Limited Channels With Packet Loss (vol 56, pg 2854, 2011)', IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 58 1868-1872 (2013) [O1]
DOI10.1109/TAC.2013.2241481Author URL
2013Aguilera RP, Quevedo DE, 'Stability analysis of quadratic MPC with a discrete input alphabet', IEEE Transactions on Automatic Control, 58 3190-3196 (2013) [C1]

We study stability of Model Predictive Control (MPC) with a quadratic cost function for LTI systems with a discrete input alphabet. Since this kind of systems may present a steady-state error, the focus is on practical stability, i.e., ultimate boundedness of solutions. To derive sufficient conditions for practical stability and characterize the ultimately invariant set, we analyze the one-step horizon solution and adapt tools used for convex MPC formulations. © 1963-2013 IEEE.

DOI10.1109/TAC.2013.2264551
CitationsScopus - 3Web of Science - 3
2013Jurado I, Ortega MG, Quevedo DE, Rubio FR, 'An H8 suboptimal robust control approach for systems with uncertainties and data dropouts', International Journal of Systems Science, (2013)

This paper studies the design of control systems subject to plant uncertainties and data losses in the channel connecting the plant sensor with the controller. The controller design has two main objectives. The first one is to robustify the control law against plant uncertainties. The other one is to achieve good performance by minimising the variance of the error signal. Data losses are modelled as an independent and identically distributed sequence of Bernoulli random variables. For analysis and design, this random variable is replaced by an additive noise plus gain channel model. To cope with structural uncertainties in the model of the plant, an H8 control technique is employed. The controller is synthesised in order to make the closed-loop system robust against structural uncertainties of the nominal model, while achieving optimal performance of the system in the presence of dropouts. © 2013 Taylor & Francis.

DOI10.1080/00207721.2013.843733
2013Reble M, Quevedo DE, Allgöwer F, 'Control over erasure channels: Stochastic stability and performance of packetized unconstrained model predictive control', International Journal of Robust and Nonlinear Control, 23 1151-1167 (2013) [C1]
DOI10.1002/rnc.2853
CitationsScopus - 2Web of Science - 2
2013Li Y, Quevedo DE, Lau V, Shi L, 'Optimal Periodic Transmission Power Schedules for Remote Estimation of ARMA Processes', IEEE TRANSACTIONS ON SIGNAL PROCESSING, 61 6164-6174 (2013) [C1]
DOI10.1109/TSP.2013.2283838Author URL
CitationsScopus - 3Web of Science - 1
2013Aguilera RP, Lezana P, Quevedo DE, 'Finite-Control-Set Model Predictive Control With Improved Steady-State Performance', IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 9 658-667 (2013) [C1]
DOI10.1109/TII.2012.2211027Author URL
CitationsScopus - 26Web of Science - 17
2012Quevedo DE, Ahlen A, Leong AS, Dey S, 'On Kalman filtering over fading wireless channels with controlled transmission powers', Automatica, 48 1306-1316 (2012) [C1]
CitationsScopus - 34Web of Science - 23
2012Quevedo DE, Nesic D, 'Robust stability of packetized predictive control of nonlinear systems with disturbances and Markovian packet losses', Automatica, 48 1803-1811 (2012) [C1]
CitationsScopus - 20Web of Science - 20
2012Quevedo DE, Aguilera Echeverria RP, Perez MA, Cortes P, Lizana R, 'Model predictive control of an AFE rectifier with dynamic references', IEEE Transactions on Power Electronics, 27 3128-3136 (2012) [C1]
CitationsScopus - 48Web of Science - 38
2012Quevedo DE, Wigren T, 'Design of embedded filters for inner-loop power control in wireless CDMA communication systems', Asian Journal of Control, 14 891-900 (2012) [C1]
CitationsScopus - 3Web of Science - 3
2011Quevedo DE, Nesic D, 'Input-to-state stability of packetized predictive control over unreliable networks affected by packet-dropouts', IEEE Transactions on Automatic Control, 56 370-375 (2011) [C1]
DOI10.1109/tac.2010.2095950
CitationsScopus - 57Web of Science - 45
2011Mueller CM, Quevedo DE, Goodwin GC, 'How good is quantized model predictive control with Horizon One?', IEEE Transactions on Automatic Control, 56 2623-2638 (2011) [C1]
DOI10.1109/TAC.2011.2122610
CitationsScopus - 13Web of Science - 9
Co-authorsGraham Goodwin
2011Quevedo DE, Ostergaard J, Nesic D, 'Packetized predictive control of stochastic systems over bit-rate limited channels with packet loss', IEEE Transactions on Automatic Control, 56 2854-2868 (2011) [C1]
DOI10.1109/tac.2011.2139410
CitationsScopus - 37Web of Science - 24
2011Ishido Y, Takaba K, Quevedo DE, 'Stability analysis of networked control systems subject to packet-dropouts and finite-level quantization', Systems & Control Letters, 60 325-332 (2011) [C1]
DOI10.1016/j.sysconle.2011.02.008
CitationsScopus - 53Web of Science - 34
2011Ostergaard J, Quevedo DE, Jensen J, 'Real-time perceptual moving-horizon multiple-description audio coding', IEEE Transactions on Signal Processing, 59 4286-4299 (2011) [C1]
DOI10.1109/tsp.2011.2159601
CitationsScopus - 3Web of Science - 4
2010Goodwin GC, Silva EI, Quevedo DE, 'Analysis and design of networked control systems using the additive noise model methodology', Asian Journal of Control, 12 443-459 (2010) [C1]
DOI10.1002/asjc.201
CitationsScopus - 21Web of Science - 18
Co-authorsGraham Goodwin
2010Silva EI, Goodwin GC, Quevedo DE, 'Control system design subject to SNR constraints', Automatica, 46 428-436 (2010) [C1]
DOI10.1016/j.automatica.2009.12.001
CitationsScopus - 45Web of Science - 25
Co-authorsGraham Goodwin
2010Quevedo DE, Ahlen A, Ostergaard J, 'Energy efficient state estimation with wireless sensors through the use of predictive power control and coding', IEEE Transactions on Signal Processing, 58 4811-4823 (2010) [C1]
DOI10.1109/TSP.2010.2050883
CitationsScopus - 41Web of Science - 30
2010Goodwin GC, Mayne DQ, Chen K-Y, Coates C, Mirzaeva G, Quevedo DE, 'An introduction to the control of switching electronic systems', Annual Reviews in Control, 34 209-220 (2010) [C1]
DOI10.1016/j.arcontrol.2010.08.002
CitationsScopus - 8Web of Science - 2
Co-authorsGraham Goodwin, Colin Coates
2009Lezana P, Aguilera Echeverria RP, Quevedo DE, 'Model predictive control of an asymmetric flying capacitor converter', IEEE Transactions on Industrial Electronics, 56 1839-1846 (2009) [C1]
DOI10.1109/tie.2008.2007545
CitationsScopus - 80Web of Science - 64
2009Quevedo DE, Silva EI, Goodwin GC, 'Subband coding for networked control systems', International Journal of Robust and Nonlinear Control, 19 1817-1836 (2009) [C1]
DOI10.1002/rnc.1393
CitationsScopus - 7Web of Science - 6
Co-authorsGraham Goodwin
2009Quevedo DE, Bolcskei H, Goodwin GC, 'Quantization of filter bank frame expansions through moving horizon optimization', IEEE Transactions on Signal Processing, 57 503-515 (2009) [C1]
DOI10.1109/tsp.2008.2008259
CitationsScopus - 15Web of Science - 13
Co-authorsGraham Goodwin
2008Derpich MS, Silva EI, Quevedo DE, Goodwin GC, 'On optimal perfect reconstruction feedback quantizers', IEEE Transactions on Signal Processing, 56 3871-3890 (2008) [C1]
DOI10.1109/tsp.2008.925577
CitationsScopus - 22Web of Science - 19
Co-authorsGraham Goodwin
2008Goodwin GC, Quevedo DE, Silva EI, 'Architectures and coder design for networked control systems', Automatica, 44 248-257 (2008) [C1]
DOI10.1016/j.automatica.2007.05.015
CitationsScopus - 59Web of Science - 39
Co-authorsGraham Goodwin
2008Cortes P, Kaztnierkowski MP, Kenne RM, Quevedo DE, Rodriguez J, 'Predictive control in power electronics and drives', IEEE Transactions on Industrial Electronics, 55 4312-4324 (2008) [C1]
DOI10.1109/tie.2008.2007480
CitationsScopus - 457Web of Science - 299
2008Quevedo DE, Silva EI, Goodwin GC, 'Control over unreliable networks affected by packet erasures and variable transmission delays', IEEE Journal on Selected Areas in Communications, 26 672-685 (2008) [C1]
DOI10.1109/jsac.2008.080509
CitationsScopus - 31Web of Science - 25
Co-authorsGraham Goodwin
2008Cortes P, Rodriguez J, Quevedo DE, Silva C, 'Predictive current control strategy with Imposed load current spectrum', IEEE Transactions on Power Electronics, 25 612-618 (2008) [C1]
DOI10.1109/TPEL.2007.915605
CitationsScopus - 156Web of Science - 108
2007Lau K, Quevedo DE, Vautier BJG, Goodwin GC, Moheimani SO, 'Design of modulated and demodulated controllers for flexible structures', Control Engineering Practice, 15 377-388 (2007) [C1]
DOI10.1016/j.conengprac.2005.09.004
CitationsScopus - 12Web of Science - 9
Co-authorsReza Moheimani, Graham Goodwin
2007Quevedo DE, Mueller CM, Goodwin GC, 'Conditions for optimality of Naive quantized finite horizon control', International Journal of Control, 80 706-720 (2007) [C1]
DOI10.1080/00207170601134507
CitationsScopus - 9Web of Science - 5
Co-authorsGraham Goodwin
2007Quevedo DE, Goodwin GC, De Dona JA, 'Multistep detector for linear ISI-channels incorporating degrees of belief in past estimates', IEEE Transactions on Communications, 55 2092-2103 (2007) [C1]
DOI10.1109/tcomm.2007.908518
CitationsScopus - 11Web of Science - 9
Co-authorsJose Dedona, Graham Goodwin
2005Quevedo DE, Goodwin GC, 'Moving horizon design of discrete coefficient FIR filters', IEEE Transactions on Signal Processing, 53 2262-2267 (2005) [C1]
DOI10.1109/TSP.2005.847856
CitationsScopus - 11Web of Science - 9
Co-authorsGraham Goodwin
2005Quevedo DE, Goodwin GC, 'Quantization issues in signal processing and control system design', Australian Journal of Electrical and Electronics Engineering, 2 127-138 (2005) [C2]
Co-authorsGraham Goodwin
2005Quevedo DE, Goodwin GC, 'Multistep optimal analog-to-digital conversion', IEEE Transactions on Circuits and Systems I-Regular Papers, 52 503-515 (2005) [C1]
DOI10.1109/TCSI.2004.843058
CitationsScopus - 39Web of Science - 33
Co-authorsGraham Goodwin
2004Goodwin 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]
DOI10.1109/TAC.2004.834132
CitationsScopus - 195Web of Science - 121
Co-authorsJames Welsh, Graham Goodwin
2004Quevedo DE, Goodwin GC, De Dona JA, 'Finite constraint set receding horizon quadratic control', International Journal of Robust and Nonlinear Control, 355-377 (2004) [C1]
DOI10.1002/rnc.887
CitationsScopus - 70Web of Science - 58
Co-authorsJose Dedona, Graham Goodwin
2003Goodwin GC, Quevedo DE, McGrath D, 'Moving horizon optimal quantizer for audio signals', Journal of the Audio Engineering Society, 51 138-149 (2003) [C1]
CitationsScopus - 20Web of Science - 12
Co-authorsGraham Goodwin
2003Goodwin GC, Quevedo DE, 'Finite alphabet control and estimation', International Journal of Control, Automation and Systems, 1 412-430 (2003) [C1]
CitationsScopus - 24
Co-authorsGraham Goodwin
Show 52 more journal articles

Conference (94 outputs)

YearCitationAltmetricsLink
2014Li Y, Quevedo DE, Lau V, Dey S, Shi L, 'Transmission power scheduling for energy harvesting sensor in remote state estimation', IFAC Proceedings Volumes (IFAC-PapersOnline) (2014) [E1]

We study remote estimation in a wireless sensor network. Instead of using a conventional battery-powered sensor, a sensor equipped with an energy harvester which can obtain energy from the external environment is utilized. We formulate this problem into an infinite time-horizon Markov decision process and provide the optimal sensor transmission power control strategy. In addition, a sub-optimal strategy which is easier to implement and requires less computation is presented. A numerical example is provided to illustrate the implementation of the sub-optimal policy and evaluation of its estimation performance.

2014Dolz D, Quevedo DE, Peñarrocha I, Sanchis R, 'Performance vs complexity trade-offs for Markovian networked jump estimators', IFAC Proceedings Volumes (IFAC-PapersOnline) (2014) [E1]

This paper addresses the design of a state observer for networked systems with random delays and dropouts. The model of plant and network covers the cases of multiple sensors, out-of-sequence and buffered measurements. The measurement outcomes over a finite interval model the network measurement reception scenarios, which follow a Markov distribution. We present a tractable optimization problem to precalculate off-line a finite set of gains of jump observers. The proposed procedure allows us to trade the complexity of the observer implementation for achieved performance. Several examples illustrate that the on-line computational cost of the observer implementation is lower than that of the Kalman filter, whilst the performance is similar.

2014Leong AS, Quevedo DE, Ahlén A, Johansson KH, 'Network topology reconfiguration for state estimation over sensor networks with correlated packet drops', IFAC Proceedings Volumes (IFAC-PapersOnline) (2014) [E1]

This paper studies the problem of optimal network topology reconfiguration in sensor networks for state estimation. Multiple sensors make observations of a process, which are then transmitted, possibly via intermediate sensors, to a central gateway. Transmission over each link can experience packet drops. The time-varying wireless network environment is modelled by the notion of a network state as in Quevedo et al. (2013a). For each network state, different network configurations can be used, which govern the network topology and routing of packets. Switching between different configurations incurs a cost, in that unwanted links will need to be removed before the establishment of new links, leading to a transient time in which some links may not be available. The problem is to determine the optimal network configurations to use in each network state, in order to minimize an expected error covariance measure that takes into account the cost of reconfiguration. A simpler suboptimal method which minimizes the upper bound of the expected error is also proposed, which in numerical simulations gives essentially identical results to the optimal method.

2014Ljesnjanin M, Quevedo DE, Ne¿ic D, 'Controllability of discrete-time networked control systems with try once discard protocol', IFAC Proceedings Volumes (IFAC-PapersOnline) (2014) [E1]

This paper investigates controllability of discrete-time Networked Control Systems. The distinguishing feature is that the network imposes scheduling. The network is characterized by a dynamic protocol and different types of additional processing capabilities, as determined by available technology. For NCS with general nonlinear plants we present general controllability results. Finally, for NCS with linear plants we extend ideas motivated by NCS architectures with static protocols to state corresponding controllability results.

2013Geyer T, Aguilera RP, Quevedo DE, 'On the stability and robustness of model predictive direct current control', Proceedings of the 2013 IEEE International Conference on Industrial Technology, Cape Town, ZA (2013) [E1]
DOI10.1109/ICIT.2013.6505701
CitationsScopus - 4
2013Nagahara M, Quevedo DE, Nesic D, 'Maximum hands-off control and L1 optimality', 2013 IEEE 52nd Annual Conference on Decision and Control (CDC), Firenze, Italy (2013) [E1]
DOI10.1109/CDC.2013.6760473
CitationsScopus - 1
2013Li Y, Quevedo DE, Lau V, Shi L, 'Online sensor transmission power schedule for remote state estimation', 2013 IEEE 52nd Annual Conference on Decision and Control (CDC), Firenze, Italy (2013) [E1]
DOI10.1109/CDC.2013.6760501
CitationsScopus - 1
2013Ljesnjanin M, Quevedo DE, Nesic D, 'Robustness of networked control systems with multiple actuator-links and bounded packet dropouts', 2013 IEEE 52nd Annual Conference on Decision and Control (CDC), Firenze, Italy (2013) [E1]
DOI10.1109/CDC.2013.6760830
2013Leong AS, Quevedo DE, 'On the use of a relay for Kalman filtering over packet dropping links', Proceedings of the 2013 American Control Conference, Washington, DC (2013) [E1]
2013Lezana P, Norambuena M, Aguilera RP, Quevedo DE, 'Dual-stage model predictive control for Flying Capacitor Converters', IECON Proceedings (Industrial Electronics Conference), Vienna, Austria (2013) [E1]
DOI10.1109/IECON.2013.6700084
2013Geyer T, Quevedo DE, 'Multistep direct model predictive control for power electronics Part 1: Algorithm', 2013 IEEE Energy Conversion Congress and Exposition, ECCE 2013, Denver, Colorado (2013) [E1]
DOI10.1109/ECCE.2013.6646835
CitationsScopus - 2
2013Geyer T, Quevedo DE, 'Multistep direct model predictive control for power electronics Part 2: Analysis', 2013 IEEE Energy Conversion Congress and Exposition, ECCE 2013, Denver, Colorado (2013) [E1]
DOI10.1109/ECCE.2013.6646836
CitationsScopus - 1
2013Aguilera RP, Quevedo DE, Franquelo LG, Vazquez S, 'Generalized Predictive Direct Power Control for AC/DC converters', 2013 IEEE ECCE Asia Downunder - 5th IEEE Annual International Energy Conversion Congress and Exhibition, Melbourne, Australia (2013) [E1]
DOI10.1109/ECCE-Asia.2013.6579263
CitationsScopus - 1Web of Science - 3
2013Li Y, Shi L, Cheng P, Chen J, Quevedo DE, 'Jamming attack on cyber-physical systems: A game-theoretic approach', 2013 IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, IEEE-CYBER 2013, Nanjiing, China (2013) [E1]
DOI10.1109/CYBER.2013.6705454
2013Østergaard J, Quevedo DE, 'Multiple description coding for closed loop systems over erasure channels', Proceedings DCC 2013 Data Compression Conference, Snowbird, Utah (2013) [E1]
DOI10.1109/DCC.2013.39
2012Jurado I, Quevedo DE, Millan P, Rubio FR, 'Stochastic packetized model predictive control for networked control systems subjects to time-delays and dropouts', MTNS2012: 20th International Symposium on Mathematical Theory of Networks and Systems, Melbourne (2012) [E3]
2012Nagahara M, Quevedo DE, Ostergaard J, 'Sparsely-packetized predictive control by orthogonal matching pursuit', MTNS2012: 20th International Symposium on Mathematical Theory of Networks and Systems, Melbourne (2012) [E3]
2012Nagahara M, Quevedo DE, Takahiro M, Hayashi K, 'Compressive sampling for networked feedback control', 2012 IEEE International Conference on Acoustics, Speech, and Signal Processing Proceedings, Kyoto, Japan (2012) [E1]
CitationsScopus - 6Web of Science - 3
2012Aguilera Echeverria RP, Lezana P, Quevedo DE, 'A switched model predictive control formulation for flying capacitor converters', Proceedings of the 15th International Power Electronics and Motion Control Conference, Novi Sad, Serbia (2012) [E2]
2012Reble M, Quevedo DE, Allgower F, 'A unifying framework for stability in MPC using a generalized integral terminal cost', Proceedings of the 2012 American Control Conference, Montreal, Canada (2012) [E1]
CitationsScopus - 2Web of Science - 1
2012Henriksson E, Quevedo DE, Sandberg H, Johansson KH, 'Self-triggered model predictive control for network scheduling and control', 8th IFAC Symposium on Advanced Control of Chemical Processes Proceedings, Singapore (2012) [E1]
CitationsScopus - 4
2012Quevedo DE, Johansson KH, Ahlen A, Jurado I, 'Dynamic controller allocation for control over erasure channels', Proceedings of the 3rd IFAC Workshop on Distributed Estimation and Control in Networked Systems, Santa Barbara, CA (2012) [E1]
CitationsScopus - 1
2012Cardoso De Castro N, Quevedo DE, Garin F, Canudas De Wit C, 'Smart energy-aware sensors for event-based control', Proceedings of the 51st IEEE Conference on Decision and Control, Maui, Hawaii (2012) [E1]
2012Nagahara M, Quevedo DE, Ostergaard J, 'Packetized predictive control for rate-limited networks via sparse representation', Proceedings of the 51st IEEE Conference on Decision and Control, Maui, Hawaii (2012) [E1]
CitationsScopus - 8
2012Reble M, Quevedo DE, Allgower F, 'Improved stability conditions for unconstrained nonlinear model predictive control by using additional weighting terms', Proceedings of the 51st IEEE Conference on Decision and Control, Maui, Hawaii (2012) [E1]
2011Nagahara M, Quevedo DE, Ostergaard J, Matsuda T, Hayashi K, 'Sparse command generator for remote control', Proceedings of the 9th IEEE International Conference on Control and Automation (ICCA'11), Santiago, Chile (2011) [E1]
DOI10.1109/icca.2011.6137938
CitationsScopus - 3
2011Ostergaard J, Quevedo DE, 'Multiple descriptions for packetized predictive control over erasure channels', Proceedings of the 9th IEEE International Conference on Control & Automation (IEEE ICCA'11), Santiago, Chile (2011) [E1]
DOI10.1109/icca.2011.6137920
2011Reble M, Quevedo DE, Allgower F, 'Stochastic stability and performance estimates of packetized unconstrained model predictive control for networked control systems', Proceedings of the 9th IEEE International Conference on Control and Automation (ICCA), 2011, Santiago, Chile (2011) [E1]
DOI10.1109/icca.2011.6137929
CitationsScopus - 1
2011Quevedo DE, Gupta V, 'Stability of sequence-based anytime control with Markovian processor availability', Proceedings of the 2011 Australian Control Conference, AUCC 2011, Melbourne, Vic (2011) [E1]
CitationsScopus - 1
2011Aguilera Echeverria RP, Quevedo DE, 'On stability and performance of finite control set MPC for power converters', PRECEDE 2011: Workshop on Predictive Control of Electrical Drives and Power Electronics Proceedings, Munich (2011) [E1]
DOI10.1109/PRECEDE.2011.6078688
CitationsScopus - 12
2011Aguilera Echeverria RP, Quevedo DE, 'On the stability of MPC with a finite input alphabet', Proceedings of the 18th IFAC World Congress, Milano, Italy (2011) [E1]
DOI10.3182/20110828-6-it-1002.02705
CitationsScopus - 3
2011Nagahara M, Quevedo DE, 'Sparse representations for packetized predictive networked control', Proceedings of the 18th IFAC World Congress, Milano, Italy (2011) [E1]
DOI10.3182/20110828-6-it-1002.01715
CitationsScopus - 14
2011Quevedo DE, Ahlen A, Leong AS, Dey S, 'On Kalman filtering with fading wireless channels governed by power control', Proceedings of the 18th IFAC World Congress, Milano, Italy (2011) [E1]
DOI10.3182/20110828-6-it-1002.01387
CitationsScopus - 1
2011Quevedo DE, Ahlen A, Johansson KH, 'Stability of state estimation over sensor networks with Markovian fading channels', Proceedings of the 18th IFAC World Congress, Milano, Italy (2011) [E1]
DOI10.3182/20110828-6-it-1002.02712
CitationsScopus - 3
2010Gupta V, Quevedo DE, 'On a control Lyapunov function based anytime algorithm for control of nonlinear processes', Proceedings of the 2nd IFAC Workshop on Distributed Estimation and Control in Networked Systems, Annecy, France (2010) [E1]
2010Ostergaard J, Quevedo DE, Ahlen A, 'Predictive power control for dynamic state estimation over wireless sensor networks with relays', Proceedings of the 2010 European Signal Processing Conference (EUSIPCO2010), Aalborg, Denmark (2010) [E1]
2010Aguilera Echeverria RP, Quevedo DE, 'On stability of finite control set MPC strategy for multicell converters', Proceedings. ICIT 2010: IEEE-ICIT 2010 International Conference on Industrial Technology, Vina Del Mar, Chile (2010) [E1]
DOI10.1109/ICIT.2010.5472626
CitationsScopus - 3
2010Goodwin GC, Mayne DQ, Chen T, Coates C, Mirzaeva G, Quevedo DE, 'Opportunities and challenges in the application of advanced control to power electronics and drives', Proceedings. ICIT 2010: IEEE-ICIT 2010 International Conference on Industrial Technology, Vina Del Mar, Chile (2010) [E1]
CitationsScopus - 8
Co-authorsGraham Goodwin, Colin Coates
2010Quevedo DE, Aguilera Echeverria RP, Perez MA, Cortes P, 'Finite control set MPC of an AFE rectifier with dynamic references', Proceedings. ICIT 2010: IEEE-ICIT 2010 International Conference on Industrial Technology, Vina Del Mar, Chile (2010) [E1]
CitationsScopus - 8
2010Aguilera Echeverria RP, Quevedo DE, Lezana P, 'Predictive control of an Asymmetric Multicell Converter with floating cells', CDROM Proceedings. ISIE 2010: 2010 IEEE International Symposium on Industrial Electronics, Bari, Italy (2010) [E1]
CitationsScopus - 2Web of Science - 2
2010Gupta V, Quevedo DE, 'On anytime control of nonlinear processes through calculation of control sequences', Proceedings of the 49th IEEE Conference on Decision and Control, Atlanta, GA (2010) [E1]
CitationsScopus - 3Web of Science - 2
2010Quevedo DE, Nesic D, 'On stochastic stability of packetized predictive control of non-linear systems over erasure channels', 8th IFAC Symposium on Nonlinear Control Systems, Bologna, Italy (2010) [E1]
CitationsScopus - 2
2010Ishido T, Quevedo DE, Takaba K, 'Stability analysis of networked control systems subjected to packet-dropouts and finite level quantization', Proceedings of the 2nd IFAC Workshop on Distributed Estimation and Control in Networked Systems, Annecy, France (2010) [E1]
DOI10.1016/j.sysconle.2011.02.008
2009Aguilera Echeverria RP, Quevedo DE, 'Capacitor voltage estimation for predictive control algorithm of flying capacitor converters', 2009 IEEE International Conference on Industrial Technology, ICIT 2009, Churchill, VIC (2009) [E1]
DOI10.1109/icit.2009.4939741
2009Fuentes EJ, Silva C, Quevedo DE, Silva EI, 'Predictive speed control of a synchronous permanent magnet motor', 2009 IEEE International Conference on Industrial Technology, ICIT 2009, Churchill, VIC (2009) [E1]
DOI10.1109/icit.2009.4939731
CitationsScopus - 1
2009Ostergaard J, Quevedo DE, Jensen J, 'Low delay moving-horizon multiple-description audio coding for wireless hearing aids', 2009 IEEE International Conference on Acoustics, Speech, and Signal Processing: Proceedings, Taipei, Taiwan (2009) [E1]
DOI10.1109/icassp.2009.4959510
2009Ostergaard J, Quevedo DE, Ahlen A, 'Predictive power control and multiple-description coding for wireless sensor networks', 2009 IEEE International Conference on Acoustics, Speech, and Signal Processing: Proceedings, Taipei, Taiwan (2009) [E1]
DOI10.1109/icassp.2009.4960201
CitationsWeb of Science - 1
2009Fuentes EJ, Rodriguez J, Silva C, Diaz S, Quevedo DE, 'Speed control of a permanent magnet synchronous motor using predictive current control', IEEE 6th International Power Electronics and Motion Control Conference, IPEMC '09 Proceedings, Wuhan, China (2009) [E1]
DOI10.1109/ipemc.2009.5157418
CitationsScopus - 3
2009Quevedo DE, Ostergaard J, 'Quantized predictive control over erasure channels', Proceedings of the 48th IEEE Conference on Decision and Control, 2009 held jointly with the 2009 28th Chinese Control Conference, CDC/CCC 2009, Shanghai, China (2009) [E1]
DOI10.1109/cdc.2009.5399598
2009Aguilera Echeverria RP, Quevedo DE, 'Predictive control formulation for achieving a reduced finite control set in flying capacitor converters', ECC'09: European Control Conference 2009 Proceedings, Budapest, Hungary (2009) [E1]
2009Silva EI, Goodwin GC, Quevedo DE, 'On the design of control systems over unreliable channels', ECC'09: European Control Conference 2009 Proceedings, Budapest, Hungary (2009) [E1]
Co-authorsGraham Goodwin
2009Quevedo DE, Ahlen A, Ostergaard J, Goodwin GC, 'Innovations-based state estimation with wireless sensor networks', ECC'09: European Control Conference 2009 Proceedings, Budapest, Hungary (2009) [E1]
Co-authorsGraham Goodwin
2009Lezana P, Aguilera Echeverria RP, Quevedo DE, 'Steady-state issues with finite control set model predictive control', Proceedings: IECON 2009, 35th Annual Conference of the IEEE Industrial Electronics Society, Porto, Portugal (2009) [E1]
DOI10.1109/iecon.2009.5414812
CitationsScopus - 1
2008Wang M, Goodwin GC, Quevedo DE, 'EM-based receiver design for uplink MIMO-OFDMA systems', 2008 IEEE International Conference on Communications. Proceedings, Beijing, China (2008) [E1]
DOI10.1109/ICC.2008.847
CitationsScopus - 1
Co-authorsGraham Goodwin
2008Quevedo DE, Ahlen A, Goodwin GC, 'Predictive power control of wireless sensor networks for closed loop control', International Workshop on Assessment and Future Directions of Nonlinear Model Predictive Control, Pavia, Italy (2008) [E2]
Co-authorsGraham Goodwin
2008Silva EI, Goodwin GC, Quevedo DE, 'On networked control architectures for MIMO plants', Proceedings of the 17th World Congress of the International Federation of Automatic Control, Seoul, Korea (2008) [E1]
DOI10.3182/20080706-5-kr-1001.0915
Co-authorsGraham Goodwin
2008Silva EI, Quevedo DE, Goodwin GC, 'Optimal controller design for networked control systems', Proceedings of the 17th World Congress of the International Federation of Automatic Control, Seoul, Korea (2008) [E1]
DOI10.3182/20080706-5-kr-1001.0714
Co-authorsGraham Goodwin
2008Quevedo DE, Silva EI, Nesic D, 'Design of multiple actuator-link control systems with packet dropouts', Proceedings of the 17th World Congress of the International Federation of Automatic Control, Seoul, Korea (2008) [E1]
DOI10.3182/20080706-5-kr-1001.1367
2008Derpich MS, Quevedo DE, Goodwin GC, 'Conditions for optimality of scalar feedback quantization', 2008 International Conference on Acoustics, Speech and Signal Processing. Proceedings, Las Vegas, Nevada (2008) [E1]
DOI10.1109/icassp.2008.4518468
CitationsScopus - 1
Co-authorsGraham Goodwin
2008Goodwin GC, Silva EI, Quevedo DE, 'A brief introduction to the analysis and design of networked control systems', 2008 Chinese Control and Decision Conference, Shandong, China (2008) [E1]
DOI10.1109/ccdc.2008.4597262
CitationsScopus - 14Web of Science - 8
Co-authorsGraham Goodwin
2008Aguilera Echeverria RP, Quevedo DE, Summers TJ, Lezana P, 'Predictive control algorithm robustness for achieving fault tolerance in multicell converters', Proceedings: IECON 2008: 34th Annual Conference of the IEEE Industrial Electronics Society (IECON 2008), Orlando, FL (2008) [E1]
DOI10.1109/iecon.2008.4758489
CitationsScopus - 4
2008Wang M, Quevedo DE, Goodwin GC, Krongold BS, 'A complex-baseband active-set approach for tone reservation PAR reduction in OFDM systems', Proceedings of the 2008 Australian Communications Theory Workshop, Christchurch, NZ (2008) [E1]
DOI10.1109/ausctw.2008.4460831
CitationsScopus - 1Web of Science - 2
Co-authorsGraham Goodwin
2008Silva EI, Derpich MS, Ostergaard J, Quevedo DE, 'Simple coding for achieving mean square stability over bit-rate limited channels', Proceedings of the 47th IEEE Conference on Decision and Control, Cancun, Mexico (2008) [E1]
DOI10.1109/cdc.2008.4738963
CitationsScopus - 10Web of Science - 4
2008Quevedo DE, Ahlen A, 'A predictive power control scheme for energy efficient state estimation via wireless sensor networks', Proceedings of the 47th IEEE Conference on Decision and Control, Cancun, Mexico (2008) [E1]
DOI10.1109/cdc.2008.4739233
CitationsScopus - 7Web of Science - 2
2007Wang M, Quevedo DE, Goodwin GC, Krongold BS, 'OFDMA uplink PAR reduction via tone reservation', IEEE GLOBECOM 2007 Proceedings, Washington (2007) [E1]
DOI10.1109/GLOCOM.2007.722
CitationsWeb of Science - 1
Co-authorsGraham Goodwin
2007Quevedo DE, Silva EI, Goodwin GC, 'Performance limits in multi-channel networked control system architectures', Preprints of the 3rd IFAC Symposium on System, Structure and Control. SSSC07, Foz do Iguassu, Brazil (2007) [E1]
Co-authorsGraham Goodwin
2007Silva EI, Quevedo DE, Goodwin GC, 'Optimal multibit digital to analog conversion', ISCIT '07. International Symposium on Communications and Information Technologies. Proceedings, Sydney (2007) [E1]
DOI10.1109/iscit.2007.4391975
Co-authorsGraham Goodwin
2007Silva EI, McGrath BP, Quevedo DE, Goodwin GC, 'Predictive control of a flying capacitor converter', Proceedings of the 2007 American Control Conference. ACC '07, New York (2007) [E1]
DOI10.1109/acc.2007.4282860
CitationsScopus - 27
Co-authorsGraham Goodwin
2007Quevedo DE, Silva EI, Goodwin GC, 'Packetized predictive control over erasure channels', Proceedings of the 2007 American Control Conference. ACC '07, New York (2007) [E1]
CitationsScopus - 31
Co-authorsGraham Goodwin
2007Derpich MS, Quevedo DE, Goodwin GC, 'Optimal AD-conversion via sampled-data receding horizon control', 2006 Chinese Control Conference Proceedings (CCC 2006), Harbin, Heilongjiang, China (2007) [E1]
DOI10.1109/chicc.2006.280706
Co-authorsGraham Goodwin
2007Silva EI, Quevedo DE, Goodwin GC, 'Optimal coding for bit-rate limited networked control systems in the presence of data loss', Proceedings of the 46th IEEE Conference on Decision and Control, New Orleans (2007) [E1]
CitationsScopus - 6
Co-authorsGraham Goodwin
2007Silva EI, Goodwin GC, Quevedo DE, Derpich MS, 'Optimal noise shaping for networked control systems', Proceedings of the European Control Conference 2007, Kos, Greece (2007) [E1]
Co-authorsGraham Goodwin
2006Derpich MS, Quevedo DE, Goodwin GC, Feuer A, 'Quantization and sampling of not necessarily band-limited signals', 2006 IEEE International Conference on Acoustics, Speech, and Signal Processing, Vol III, Proceedings, Toulouse, FRANCE (2006)
Author URL
Co-authorsGraham Goodwin
2006Goodwin GC, Quevedo DE, Silva EI, 'Filter Banks in Networked Control', Proceedings of the 17th International Symposium on Mathematical Theory of Networks ans Systems, Kyoto, Japan (2006) [E1]
Co-authorsGraham Goodwin
2006Quevedo DE, Goodwin GC, 'An Improved Architecture For Networked Control Systems', Proceedings of 16th IFAC World Congress, Prague, Czech Republic (2006) [E1]
CitationsScopus - 1
Co-authorsGraham Goodwin
2006Quevedo DE, Welsh JS, Goodwin GC, McLeod MC, 'Networked PID Control', Proceedings of the 2006 IEEE International Conference on Control Applications, Munich, Germany (2006) [E1]
CitationsScopus - 5
Co-authorsGraham Goodwin, James Welsh
2006Cortes P, Rodriguez J, Quevedo DE, Silva C, 'Predictive Current Control Strategy with Imposed Load Current Spectrum', Proceedings of EPE-PEMC 2006, 12th International Power Electronics and Motion Control Conference, Portoroz, Slovenia (2006) [E1]
2006Wang M, Quevedo DE, Goodwin GC, 'Joint Data Detection and Channel Estimation for MIMO-OFDM Systems via EM Algorithm and Sphere Decoding', IEEE GLOBECOM 2006 Proceedings, San Francisco, CA, USA (2006) [E1]
Co-authorsGraham Goodwin
2006Derpich MS, Quevedo DE, Goodwin GC, Feuer A, 'Quantization and Sampling of not Necessarily Band-Limited Signals', ICASSP 2006 Proceedings, 2006 IEEE International Conference on Acoustics, Speech, and Signal Processing, Toulouse, France (2006) [E1]
CitationsScopus - 1
Co-authorsGraham Goodwin
2006Goodwin GC, Derpich MS, Quevedo DE, 'Efficient Data Representations for Signal Processing and Control: 'Making Most of a Little'', Proceedings of the 25th Chinese Control Conference, Harbin, China (2006) [E1]
Co-authorsGraham Goodwin
2006Cortes P, Rodriguez J, Quevedo D, Silva C, 'Predictive current control strategy with imposed load current spectrum', 2006 12TH INTERNATIONAL POWER ELECTRONICS AND MOTION CONTROL CONFERENCE, VOLS 1-4, Portoroz, SLOVENIA (2006)
Author URL
2005Derpich MS, Quevedo DE, Goodwin GC, 'Probability of Interpolation for A Mute Sample Interpolative A/D Converter with Horizon-Length Two', Proceedings of Tencon 2005 - 2005 IEEE Region 10, Melbourne, Vic (2005) [E1]
Co-authorsGraham Goodwin
2004Lau K, Quevedo DE, Goodwin GC, Moheimani SO, 'Multi-modal modulated and demodulated vibration control of flexible structures using piezoelectric transducers', Mechatronic Systems 2004, A Proceedings Volume from the 3rd IFAC Symposium, Sydney (2004) [E1]
Co-authorsGraham Goodwin, Reza Moheimani
2004Quevedo DE, Goodwin GC, 'When is the naive quantised control law globally optimal', The Proceedings of the 5th Asian Control Conference, Melbourne (2004) [E1]
Co-authorsGraham Goodwin
2004Quevedo DE, Goodwin GC, Welsh JS, 'Design issues arising in a networked control system architecture', CD ROM, Taipei (2004) [E1]
CitationsScopus - 4
Co-authorsGraham Goodwin, James Welsh
2004Quevedo DE, Goodwin GC, 'Control of emi from switch-mode power supplies via multi-step optimization', CD ROM, Boston (2004) [E1]
CitationsScopus - 9Web of Science - 5
Co-authorsGraham Goodwin
2004Quevedo DE, Goodwin GC, Bolcskei H, 'Multi-step optimal quantization in oversampled filter banks', Conference Paper, Atlantis, Bahamas (2004) [E1]
CitationsScopus - 4
Co-authorsGraham Goodwin
2003Quevedo DE, Goodwin GC, 'Audio Quantization from a Receding Horizon Control Perspective', Proceedings for ACC 2003 (CD ROM), The Adams Mark Hotel, Denver, Colorado (2003) [E1]
CitationsScopus - 27Web of Science - 17
Co-authorsGraham Goodwin
2003Goodwin GC, Quevedo DE, De Dona JA, 'An Application of Receding Horizon Control to Estimation with Quantized Coefficients', Proceedings of the 2003 ACC (CD ROM), The Adams Mark Hotel, Denver, Colorado (2003) [E1]
CitationsScopus - 1
Co-authorsGraham Goodwin, Jose Dedona
2003Haimovich H, Goodwin GC, Quevedo DE, 'Moving Horizon Monte Carlo State Estimation for Linear Systems with Output Quantization', Proceedings for CDC 2003 (CD ROM), Maui, Hawaii (2003) [E1]
CitationsScopus - 4Web of Science - 2
Co-authorsGraham Goodwin
2003Quevedo 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]
CitationsScopus - 11
Co-authorsJames Welsh, Graham Goodwin
2002Quevedo DE, De Dona JA, Goodwin GC, 'Receding Horizon Linear Quadratic Control with Finite Input Constraint Sets', 15th Triennial World Congress, Barcelona, Spain (2002) [E1]
Co-authorsGraham Goodwin, Jose Dedona
2002Quevedo DE, De Dona JA, Goodwin GC, 'On the Dynamics of Receding Horizon Linear Quadratic Finite Alphabet Control Loops', Proceedings of the 41st IEEE Conference on Decision and Control, Las Vegas, Nevada, USA (2002) [E1]
CitationsScopus - 4Web of Science - 2
Co-authorsGraham Goodwin, Jose Dedona
2000Quevedo DE, Salgado ME, 'Robustification of model predictive control', PROCEEDINGS OF THE 39TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-5, SYDNEY, AUSTRALIA (2000)
Author URL
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Grants and Funding

Summary

Number of grants9
Total funding$1,303,036

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


20142 grants / $235,036

2014 Postdoctoral Research Fellowship - DVCR Strategic Appointment$220,036

Funding body: University of Newcastle

Funding bodyUniversity of Newcastle
Project TeamAssociate Professor Daniel Quevedo
SchemePostdoctoral Research Fellowship
RoleLead
Funding Start2014
Funding Finish2014
GNoG1301314
Type Of FundingInternal
CategoryINTE
UONY

DVC(R) Research Support for Research Fellowship$15,000

Funding body: University of Newcastle

Funding bodyUniversity of Newcastle
Project TeamAssociate Professor Daniel Quevedo
SchemeFellowship Grant
RoleLead
Funding Start2014
Funding Finish2014
GNoG1301315
Type Of FundingInternal
CategoryINTE
UONY

20131 grants / $213,000

Distributed Model Predictive Control of Modular Energy Systems$213,000

Funding body: ABB Switzerland Ltd

Funding bodyABB Switzerland Ltd
Project TeamAssociate Professor Daniel Quevedo, Dr Tobias Geyer
SchemeResearch Project
RoleLead
Funding Start2013
Funding Finish2013
GNoG1300013
Type Of FundingInternational - Non Competitive
Category3IFB
UONY

20121 grants / $15,000

2011 Emerging Research Leaders Program$15,000

Funding body: University of Newcastle

Funding bodyUniversity of Newcastle
Project TeamAssociate Professor Daniel Quevedo
SchemeEmerging Research Leaders Program
RoleLead
Funding Start2012
Funding Finish2012
GNoG1200844
Type Of FundingInternal
CategoryINTE
UONY

20112 grants / $336,000

Robust Control of Power Electronics and Drives: A Synthesis of Traditional and Model Predictive Control Approaches$334,500

Funding body: ARC (Australian Research Council)

Funding bodyARC (Australian Research Council)
Project TeamAssociate Professor Daniel Quevedo, Emeritus Laureate Professor Graham Goodwin, Dr Tobias Geyer, Dr Pablo Lezana, Professor Jose Rodriguez, Dr Patricio Cortes
SchemeDiscovery Projects
RoleLead
Funding Start2011
Funding Finish2011
GNoG1000198
Type Of FundingAust Competitive - Commonwealth
Category1CS
UONY

IFAC World Congress, UCSC Milano, 28/08/2011 - 02/09/2011$1,500

Funding body: University of Newcastle - Faculty of Engineering & Built Environment

Funding bodyUniversity of Newcastle - Faculty of Engineering & Built Environment
Project TeamAssociate Professor Daniel Quevedo
SchemeTravel Grant
RoleLead
Funding Start2011
Funding Finish2011
GNoG1100924
Type Of FundingInternal
CategoryINTE
UONY

20092 grants / $501,500

Feedback Architectures with Parallel Communication Channels$500,000

Funding body: ARC (Australian Research Council)

Funding bodyARC (Australian Research Council)
Project TeamAssociate Professor Daniel Quevedo, Associate Professor Jan Ostergaard
SchemeDiscovery Projects
RoleLead
Funding Start2009
Funding Finish2009
GNoG0188772
Type Of FundingAust Competitive - Commonwealth
Category1CS
UONY

European Control Conference, Budapest, Hungary, 23-26 August 2009$1,500

Funding body: University of Newcastle - Faculty of Engineering & Built Environment

Funding bodyUniversity of Newcastle - Faculty of Engineering & Built Environment
Project TeamAssociate Professor Daniel Quevedo
SchemeTravel Grant
RoleLead
Funding Start2009
Funding Finish2009
GNoG0190358
Type Of FundingInternal
CategoryINTE
UONY

20081 grants / $2,500

IFAC World Congress 2008, Coex, Seoul, Korea, 6/7/2008 - 11/6/2008$2,500

Funding body: University of Newcastle

Funding bodyUniversity of Newcastle
Project TeamAssociate Professor Daniel Quevedo
SchemeTravel Grant
RoleLead
Funding Start2008
Funding Finish2008
GNoG0188798
Type Of FundingInternal
CategoryINTE
UONY
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Research Supervision

Current Supervision

CommencedResearch Title / Program / Supervisor Type
2013Control and Scheduling for Feedback Control over IEEE 802.15.4 Networks
Electrical Engineering, Faculty of Engineering and Built Environment
Co-Supervisor

Past Supervision

YearResearch Title / Program / Supervisor Type
2012Model Predictive Control of Power Converters - Theory and Practice
Electrical Engineering, Faculty of Engineering and Built Environment
Principal Supervisor
2009Optimal Source Coding with Signal Transfer Function Constraints
Electrical Engineering, Faculty of Engineering and Built Environment
Co-Supervisor
2009A Unified Framework for the Analysis and Design of Networked Control Systems
Electrical Engineering, Faculty of Engineering and Built Environment
Co-Supervisor
2008Efficient Algorithms for Optimization of Wireless Multicarrier Communication Systems
Electrical Engineering, Faculty of Engineering and Built Environment
Co-Supervisor
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News

2014 Scopus Researchers

Scopus Young Researchers

September 22, 2014

UON academics have featured prominently in the 2014 Scopus Young Researcher of the Year Awards, receiving honours in three of five categories.

Conjoint Professor Daniel Quevedo

Position

Conjoint Professor
School of Engineering
Faculty of Engineering and Built Environment

Focus area

Electrical and Computer Engineering

Contact Details

Emaildaniel.quevedo@newcastle.edu.au
Phone(02) 4921 5091

Office

RoomEF08
BuildingEngineering F
LocationCallaghan
University Drive
Callaghan, NSW 2308
Australia
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