Modeling and Identification of 
Linear Parameter-Varying Systems
 

Author



Roland Tóth is currently a Assistant Professor at the Technical University of Eindhoven.


He received his Ph.D. degree with distinction (Cum Laude) at the Delft Center for Systems and Control (DCSC) of the Delft University of Technology in the Netherlands. He received the B.Sc. degree in Electrical Engineering and the M.Sc. degree in Information Technology in parallel, both with distinction, at the University of Pannonia, Hungary in 2004. Between 2008 and 2010 he was a post doctoral researcher at DCSC and in 2010 he received the Fellowship of the Delft University of Technology. Between 2010 and 2011 he was a Postdoctoral researcher at the University of California at Berkeley. In 2011, he received the highly prestigious VENI grant of the Netherlands Organization for Scientific Research.


Roland Tóth's research inte-rests are in issues of linear parameter-varying (LPV) and nonlinear system identification and modeling, process control, motion control of mechatronic devices, and behavioral system theory.


Contact:

Control Systems Group

Eindhoven University of Technology

Potentiaal 4.29

5600 MB Eindhoven

The Netherlands


E-mail: R.Toth@tue.nl

 
 

This book aims to bridge the gap between Linear Parameter-Varying (LPV) modeling and control by investigating fundamental questions of modeling and identification. It explores missing details of LPV system theory that have hindered the formulation of a well established identification framework. By proposing a unified LPV system theory, based on a behavioral approach, the concepts of representations, equivalence transformations and means to compare model structures are re-established, giving a solid basis for an identification theory. It is also explored when and how first-principle nonlinear models can be efficiently converted to LPV descriptions detailing possible pitfalls. Building on well-founded system theoretical concepts, the classical LTI prediction-error framework is extended to the LPV case via the use of series-expansion representations. The book is written as a research monograph with a broad scope, trying to cover the key issues from system theory to modeling and identification. It is meant to be interesting for both researchers and engineers but also for graduate students in systems and control who would like to learn about the LPV framework.

About the book

Publisher: Springer Germany

Series: Lecture Notes in Control and    
            Information Sciences 403.

June 2010, 325 pages,

ISBN: 978-3-642-13811-9