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.
Table of Contents
- Title page
- Copyright page
- Chapter 1: Multiple Model Representation
- Chapter 2: Stability of Continuous Multiple Models
- Chapter 3: Multiple Model State Estimation
- Chapter 4: Stabilization of Multiple Models
- Chapter 5: Robust Stabilization of Multiple Models
- Appendix 1: LMI Regions
- Appendix 2: Properties of M-Matrices
- Appendix 3: Stability and Comparison Systems
- Title: Multiple Models Approach in Automation: Takagi-Sugeno Fuzzy Systems
- Release date: November 2012
- Publisher(s): Wiley
- ISBN: 9781848214125