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Description
This book provides readers with a systematic and unified framework for identification and adaptive control of Takagi-Sugeno (T-S) fuzzy systems. Its design techniques help readers applying these powerful tools to solve challenging nonlinear control problems. The book embodies a systematic study of fuzzy system identification and control problems, using T-S fuzzy system tools for both function approximation and feedback control of nonlinear systems. Alongside this framework, the book also:
- introduces basic concepts of fuzzy sets, logic and inference system;
- discusses important properties of T-S fuzzy systems;
- develops offline and online identification algorithms for T-S fuzzy systems;
- investigates the various controller structures and corresponding design conditions for adaptive control of continuous-time T-S fuzzy systems;
- develops adaptive control algorithms for discrete-time input-output formT-S fuzzy systems with much relaxed design conditions, and discrete-time state-space T-S fuzzy systems; and
- designs stable parameter-adaptation algorithms for both linearly and nonlinearly parameterized T-S fuzzy systems.
Fuzzy System Identification and Adaptive Control helps engineers in the mechanical, electrical and aerospace fields, to solve complex control design problems. The book can be used as a reference for researchers and academics in nonlinear, intelligent, adaptive and fault-tolerant control.
Spécifications
Parties prenantes
- Auteur(s) :
- Editeur:
Contenu
- Nombre de pages :
- 282
- Langue:
- Anglais
- Collection :
Caractéristiques
- EAN:
- 9783030198817
- Date de parution :
- 26-06-19
- Format:
- Livre relié
- Format numérique:
- Genaaid
- Dimensions :
- 189 mm x 240 mm
- Poids :
- 544 g
