14th IFAC (International Federation of Automatic Control) Symposium on System Identification, SYSID 2006, March 29-31
IFAC SYSID 2006

Panel Discussion

Experience and challenges in identification of non-linear systems


Lennart Ljung

Lennart Ljung

Some Aspects of Nonlinear System Identification

Lennart Ljung received his PhD in Automatic Control from Lund Institute of Technology in 1974. Since 1976 he is Professor of the chair of Automatic Control In Linkoping, Sweden, and is currently Director of the Competence Center "Information Systems for Industrial Control and Supervision" (ISIS).

He has held visiting positions at Stanford and MIT and has written several books on System Identification and Estimation. He is an IEEE Fellow and an IFAC Advisor as well as a member of the Royal Swedish Academy of Sciences (KVA), a member of the Royal Swedish Academy of Engineering Sciences (IVA), an Honorary Member of the Hungarian Academy of Engineering and a Foreign Associate of the US National Academy of Engineering (NAE).

He has received honorary doctorates from the Baltic State Technical University in St Petersburg, from Uppsala University, Sweden, from the Technical University of Troyes, France, and from the Catholic University of Leuven, Belgium. In 2002 he received the Quazza Medal from IFAC, and in 2003 he recieved the Hendryk W. Bode Lecture Prize from the IEEE Control Systems Society.

Graham Goodwin

Graham Goodwin

Some Observations on Nonlinear System Identification

Graham C. Goodwin obtained a B.Sc (Physics), B.E (Electrical Engineering), and Ph.D from the University of New South Wales. From 1970 until 1974 he was a lecturer in the Department of Computing and Control, Imperial College, London. Since 1974 he has been with the Department of Electrical and Computer Engineering, The University of Newcastle, Australia. He is the co-author of eight monographs: Control Theory, Oliver and Boyd (1970), Dynamic System Identification, Academic Press (1977), Adaptive Filtering, Prediction and Control, Prentice Hall (1984), Digital Control and Estimation, Prentice Hall (1989), Sampling in Digital Signal Processing and Control, Birkhauser (1996), Fundamental Limitations in Filtering and Control, Springer (1997), Control System Design, Prentice Hall, (2001), Constrained Control and Estimation, Springer, (2004); four edited volumes, and several hundred technical papers.

Graham Goodwin is the recipient of several international prizes including the USA Control Systems Society 1999 Hendrik Bode Lecture Prize, a Best Paper award by IEEE Trans. Automatic Control, a Best Paper award by Asian Journal of Control, and 2 Best Engineering Text Book awards from the International Federation of Automatic Control. He is currently Professor of Electrical Engineering, Research Director of the Centre for Complex Dynamic Systems and Control at the University of Newcastle, Australia and a Director of National ICT, Australia. Graham Goodwin is the recipient of an ARC Federation Fellowship; a Fellow of IEEE; an Honorary Fellow of Institute of Engineers, Australia; a Fellow of the Australian Academy of Science; a Fellow of the Australian Academy of Technology, Science and Engineering; a Member of the International Statistical Institute; a Fellow of the Royal Society, London and a Foreign Member of the Royal Swedish Academy of Sciences.

Johan Schoukens

Johan Schoukens

Identification of Nonlinear and Linear Systems, Similarities, Differences and Challenges

Johan Schoukens received the degree of engineer in 1980, the degree of doctor in applied sciences in 1985, all from the Vrije Universiteit Brussel (VUB).

He is presently a professor at the VUB.

The prime factors of his research are in the field of system identification for linear and non-linear systems, and growing tomatos and melons in his greenhouse.








David Westwick

David Westwick

Nonlinear System Identification in Biomedical Engineering:Techniques, Applications and Challenges

David Westwick received the BASc. in Engineering Physics from The University of British Columbia, the MScE. in Electrical Engineering from The University of New Brunswick, and the PhD. in Electrical Engineering from McGill University.

After earning his PhD., he spent two years as a research associate in the Department of Biomedical Engineering at Boston University, and a year at the Technical University of Delft as a research fellow in the Systems and Control Engineering Group.

Since 1999, he has been a faculty member in the Department of Electrical and Computer Engineering at the University of Calgary, where he is currently an Associate Professor.

He has written over 60 publications including a textbook, "The Identification of Nonlinear Physiological Systems", published in 2003 as part of the IEEE Engineering in Medicine and Biology book series.

His research interests include using system identification techniques to construct mathematical models of various physiological systems, and the development of identification techniques that are suitable for these applications.

Karel Keesman

Karel Keesman

Experiences and Challenges in Identification of Nonlinear Systems: Biochemical and Environmental Applications

Karel J. Keesman is currently associate professor (b. 1956) in the Systems and Control Group of the Wageningen University, The Netherlands.

He received his M.Sc. degree in Hydrology and Water Management from the Wageningen University in 1984 and his Ph.D. degree for his work on set-membership identification and prediction of ill-defined systems from the University of Twente in 1989.

From May 1989 to December 1990 he worked as a research fellow on batch process control in the Process Control Group of the Department of Chemical Engineering of the University of Twente. Since 1991 he is with the Systems and Control Group in Wageningen.

His main research interests are on modelling and (robust) identification of uncertain dynamic systems, in particular environmental and biotechnical systems with flow components and/or biological activity.


Hong Zhao

Hong Zhao

Recent Progress and Industrial Experiences with Nonlinear Model Identification for MPC Applications in Polymer Manufacturing

Hong Zhao (Aspen Technology, Inc) received his B.S. degree in Chemical Engineering from Zhejiang University, China in 1982, a M.S. and a PhD degree in Process Control from Zhejiang University, China in 1984 and 1989 respectively. Form 1989 to 1991, he was with the Department of Chemical Engineering at Zhejiang University, China, as a Lecturer and Associate Professor. From 1992 to 1994 he held a visiting position in Technical University of Denmark (DTH). From 1994 to 1996 he was with Department of Chemical Engineering at University of Maryland as a visiting associate professor. In 1996 he joined NeuralWare Inc. and later worked for Aspen Technology, Inc. with company acquisition in 1997. Currently he is a Senior Technologist in Aspen Tech's R&D Department of Advanced Process Control.

Hong Zhao has been working in Process Modeling and Control R&D for more than 16 years. He received several prizes for his work in teaching process control course and co-authoring a text book with Zhejiang University. He worked on biological wastewater process modeling for control and published more than ten refereed journal articles and many conference papers during his visit in Technical University of Denmark and University of Maryland. In recent years, he has been working on R&D for both linear and nonlinear industrial MPC applications. He has developed a proprietary Subspace Identification Technology in Aspen Tech's DMCplus product package and addressed many practical modeling issues. He also holds a US patent on nonlinear process model identification. Recently he has received Aspen Tech's 2005 outstanding technology achievement award for his contribution in developing Aspen Tech's PIDWatch product.