Multiple Models Approach in Automation


Takagi-Sugeno Fuzzy Systems

Multiple Models Approach in Automation

Mohammed Chadli, University of Picardy Jules Verne, Amiens, France
Pierre Borne, Ecole Centrale de Lille, France


ISBN : 9781848214125

Publication Date : November 2012

Hardcover 208 pp

95.00 USD

Co-publisher

Description


Much work on analysis and synthesis problems relating to the multiple model approach has already been undertaken. This has been motivated by the desire to establish the problems of control law synthesis and full state estimation in numerical terms. In recent years, a general approach based on multiple LTI models (linear or affine) around various function points has been proposed. This so-called multiple model approach is a convex polytopic representation, which can be obtained either directly from a nonlinear mathematical model, through mathematical transformation or through linearization around various function points. This book concentrates on the analysis of the stability and synthesis of control laws and observations for multiple models. The authors’ approach is essentially based on Lyapunov’s second method and LMI formulation. Uncertain multiple models with unknown inputs are studied and quadratic and non-quadratic Lyapunov functions are also considered.

Contents


1. Multiple Model Representation.
2. Stability of Continuous Multiple Models.
3. Multiple Model State Estimation.
4. Stabilization of Multiple Models.
5. Robust Stabilization of Multiple Models.

About the authors


Mohammed Chadli has been Assoc. Professor at the University of Picardy Jules Verne (UPJV) in Amiens, France since 2004 as well as being a researcher in the “Modélisation, Information & Systèmes” (MIS) Laboratory. His research interests include, on the theoretical side, analysis and control of singular (switched) systems, analysis and control of fuzzy/LPV polytopic models, the multiple model approach, robust control, fault detection and isolation (FDI), fault tolerant control (FTC), analysis and control via LMI optimization techniques and Lyapunov methods. On the application side he is mainly interested in automotive control.
Pierre Borne is Professor at Ecole Centrale de Lille in France. He has received honorary degrees from the University of Moscow, Russia, the Politehnica University of Bucharest, Romania and the University of Waterloo, Canada. He is a Fellow of the IEEE, and currently President of the IEEE France section.