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Analysis and synthesis of fuzzy control systems / Feng, Gang

Public ISBD Titre : Analysis and synthesis of fuzzy control systems : a model-based approach Type de document : texte imprimé Auteurs : Feng, Gang, Auteur Editeur : New York : CRC Press Année de publication : 2010 Collection : Automation and control engineering series Importance : 285 p. Présentation : ill. Format : 24 cm ISBN/ISSN/EAN : 978-1-420-09264-6 Note générale : Bibliogr. p.265-280 Index p. 281-285 Langues : Français (fre) Mots-clés : Fuzzy  control  systems Index. décimale : 681.51 Systemes de régulation automatique en général.caractéristiques techniques de la cybernétique Résumé : Fuzzy logic control (FLC) has proven to be a popular control methodology for many complex systems in industry, and is often used with great success as an alternative to conventional control techniques. However, because it is fundamentally model free, conventional FLC suffers from a lack of tools for systematic stability analysis and controller design. To address this problem, many model-based fuzzy control approaches have been developed, with the fuzzy dynamic model or the Takagi and Sugeno (T-S) fuzzy model-based approaches receiving the greatest attention. "Analysis and Synthesis of Fuzzy Control Systems: A Model-Based Approach" offers a unique reference devoted to the systematic analysis and synthesis of model-based fuzzy control systems. After giving a brief review of the varieties of FLC, including the T-S fuzzy model-based control, it fully explains the fundamental concepts of fuzzy sets, fuzzy logic, and fuzzy systems.This enables the book to be self-contained and provides a basis for later chapters, which cover: T-S fuzzy modeling and identification via nonlinear models or data; stability analysis of T-S fuzzy systems; stabilization controller synthesis as well as robust Haeu and observer and output feedback controller synthesis; robust controller synthesis of uncertain T-S fuzzy systems; Time-delay T-S fuzzy systems; Fuzzy model predictive control; Robust fuzzy filtering; and, Adaptive control of T-S fuzzy systems. A reference for scientists and engineers in systems and control, the book also serves the needs of graduate students exploring fuzzy logic control. It readily demonstrates that conventional control technology and fuzzy logic control can be elegantly combined and further developed so that disadvantages of conventional FLC can be avoided and the horizon of conventional control technology greatly extended. Many chapters feature application simulation examples and practical numerical examples based on MATLAB. Note de contenu : 1- Introduction to Fuzzy Logic Control 2- Fuzzy Sets and Fuzzy Systems 3- T-S Fuzzy Modeling and Identification 4- Stability Analysis of T-S Fuzzy Systems 5- Stabilization Controller Synthesis of T-S Fuzzy Systems 6- Robust H∞ Controller Synthesis of T-S Fuzzy Systems 7- Observer and Output Feedback Controller Synthesis of T-S Fuzzy Systems 8- Robust Controller Synthesis of Uncertain T-S Fuzzy Systems 9- Controller Synthesis of T-S Fuzzy Systems with Time-Delay Analysis and synthesis of fuzzy control systems : a model-based approach [texte imprimé] / Feng, Gang, Auteur . - CRC Press, 2010 . - 285 p. : ill. ; 24 cm. - (Automation and control engineering series) . ISBN : 978-1-420-09264-6 Bibliogr. p.265-280 Index p. 281-285 Langues : Français (fre) Mots-clés : Fuzzy  control  systems Index. décimale : 681.51 Systemes de régulation automatique en général.caractéristiques techniques de la cybernétique Résumé : Fuzzy logic control (FLC) has proven to be a popular control methodology for many complex systems in industry, and is often used with great success as an alternative to conventional control techniques. However, because it is fundamentally model free, conventional FLC suffers from a lack of tools for systematic stability analysis and controller design. To address this problem, many model-based fuzzy control approaches have been developed, with the fuzzy dynamic model or the Takagi and Sugeno (T-S) fuzzy model-based approaches receiving the greatest attention. "Analysis and Synthesis of Fuzzy Control Systems: A Model-Based Approach" offers a unique reference devoted to the systematic analysis and synthesis of model-based fuzzy control systems. After giving a brief review of the varieties of FLC, including the T-S fuzzy model-based control, it fully explains the fundamental concepts of fuzzy sets, fuzzy logic, and fuzzy systems.This enables the book to be self-contained and provides a basis for later chapters, which cover: T-S fuzzy modeling and identification via nonlinear models or data; stability analysis of T-S fuzzy systems; stabilization controller synthesis as well as robust Haeu and observer and output feedback controller synthesis; robust controller synthesis of uncertain T-S fuzzy systems; Time-delay T-S fuzzy systems; Fuzzy model predictive control; Robust fuzzy filtering; and, Adaptive control of T-S fuzzy systems. A reference for scientists and engineers in systems and control, the book also serves the needs of graduate students exploring fuzzy logic control. It readily demonstrates that conventional control technology and fuzzy logic control can be elegantly combined and further developed so that disadvantages of conventional FLC can be avoided and the horizon of conventional control technology greatly extended. Many chapters feature application simulation examples and practical numerical examples based on MATLAB. Note de contenu : 1- Introduction to Fuzzy Logic Control 2- Fuzzy Sets and Fuzzy Systems 3- T-S Fuzzy Modeling and Identification 4- Stability Analysis of T-S Fuzzy Systems 5- Stabilization Controller Synthesis of T-S Fuzzy Systems 6- Robust H∞ Controller Synthesis of T-S Fuzzy Systems 7- Observer and Output Feedback Controller Synthesis of T-S Fuzzy Systems 8- Robust Controller Synthesis of Uncertain T-S Fuzzy Systems 9- Controller Synthesis of T-S Fuzzy Systems with Time-Delay

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Code-barres	Cote	Support	Localisation	Section	Disponibilité	Etat_Exemplaire
052113	681.51 FEN	Papier	Bibliothèque Centrale	Automatique	Disponible