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Durability, Robustness and Reliability of Photonic Devices Set

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Aerospace Actuators 2

Signal-by-Wire and Power-by-Wire

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Flash Memory Integration

Performance and Energy Considerations

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Mechanics of Aeronautical Solids, Materials and Structures

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Engineering Investment Process

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Space Strategy

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Distributed Systems

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Fatigue of Textile and Short Fiber Reinforced Composites

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Management of the Effects of Coastal Storms

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Computational Color Science

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Multiple Models Approach in Automation

Takagi-Sugeno Fuzzy Systems

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

ISBN: 9781848214125

Publication Date: November 2012   Hardback   208 pp.

95.00 USD

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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.


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.


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