Fuzzy-Model-Based Control, Filtering, and Fault Detection for Nonlinear Systems
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Beschreibung
The book focuses on the analysis and synthesis of one-dimensional (1-D) and two-dimensional (2-D) fuzzy-model-based control systems. By exploiting available information of fuzzy systems, for example, membership functions, premise variable partition information, frequency spectrum of disturbances/faults and current/past output measurements, a basic theoretical framework is formed towards the issues of less conservative fuzzy-model-based analysis and synthesis for 1-D/2-D nonlinear systems. This is obtained by providing an in-depth study on several major topics such as membership function/piecewise Lyapunov function based stability analysis, sampled-data control, event-triggered state estimation, finite frequency control/filtering/fault detection, memory control/filtering for fuzzy systems. The comprehensive and systematic treatment of nonlinear systems based on fuzzy models is one of the major features of the book, which is particularly suitable for readers who are interested in learning fuzzy models and/or 1-D/2-D nonlinear systems. From this book, the reader can obtain the most advanced analysis and synthesis techniques for fuzzy-model-based nonlinear systems.
The book focuses on the analysis and synthesis of one-dimensional (1-D) and two-dimensional (2-D) fuzzy-model-based control systems. By exploiting available information of fuzzy systems, for example, membership functions, premise variable partition information, frequency spectrum of disturbances/faults and current/past output measurements, a basic theoretical framework is formed towards the issues of less conservative fuzzy-model-based analysis and synthesis for 1-D/2-D nonlinear systems. This is obtained by providing an in-depth study on several major topics such as membership function/piecewise Lyapunov function based stability analysis, sampled-data control, event-triggered state estimation, finite frequency control/filtering/fault detection, memory control/filtering for fuzzy systems. The comprehensive and systematic treatment of nonlinear systems based on fuzzy models is one of the major features of the book, which is particularly suitable for readers who are interested in learning fuzzy models and/or 1-D/2-D nonlinear systems. From this book, the reader can obtain the most advanced analysis and synthesis techniques for fuzzy-model-based nonlinear systems.
Addresses fuzzy-model-based control systems both in theory and practice Considers all basic controller and observer design methods Illustrates the theoretical results by practical examples
Autor*in
Meng Wang
Themen in »Fuzzy-Model-Based Control, Filtering, and Fault Detection for Nonlinear Systems«
T-S fuzzy systems One-dimensional nonlinear systems Two-dimensional nonlinear systems Memory control/filtering Finite frequency performances Filtering design Fault detection