Intelligent Control, Filtering and Model Reduction Analysis for Fuzzy-Model-Based Systems

This book aims to introduce the state-of-the-art research of stability/performance analysis and optimal synthesis methods for fuzzy-model-based systems. A series of problems are solved with new approaches of design, analysis and synthesis of fuzzy systems, including stabilization control and stability analysis, dynamic output feedback control, fault detection filter design, and reduced-order model approximation. Some efficient techniques, such as Lyapunov stability theory, linear matrix inequality, reciprocally convex approach, and cone complementary linearization method, are utilized in the approaches. This book is a comprehensive reference for researchers and practitioners working on intelligent control, model reduction, and fault detection of fuzzy systems, and is also a useful source of information for senior undergraduates and graduates in these areas. The readers will benefit from some new concepts and methodologies with theoretical and practical significance in system analysis and control synthesis.

Shows multi-model approach in which simple sub-models (typically linear models) are fuzzily combined to describe the global behavior of a nonlinear system Includes fresh novel techniques including the linear matrix inequality (LMI) techniques, the slack matrix method, and so on Explains stabilization synthesis and controller design for T-S fuzzy systems Provides reliable filtering and fault detection problems that are solved for fuzzy systems

Inhalt
Introduction.- Stabilization Synthesis of T-S Fuzzy Delayed Systems.- Output Feedback Control of Fuzzy Stochastic Systems.- Output Feedback Control of Fuzzy Switching Systems.- Dissipative Filtering of Fuzzy Switched Systems.- Fault Detection for Switched Stochastic Systems.- Reliable Filtering for T-S Fuzzy Time-Delay Systems.- Reduced-Order Model Approximation of Switched Systems.- Model Reduction of Time-Varying Delay Fuzzy Systems.- Model Approximation of Fuzzy Switched Systems.- Reduced-Order Filter Design of Fuzzy Stochastic Systems.- Dissipative Event-Triggered Fuzzy Control of Truck-Trailer Systems.- Event-Triggered Fuzzy Control of Inverted Pendulum Systems.- Conclusion and Further Work.<p