Fuzzy System Identification and Adaptive Control

✍ Scribed by Ruiyun Qi, Gang Tao, Bin Jiang

• Publisher: Springer International Publishing
• Year: 2019
• Tongue: English
• Leaves: 293
• Series: Communications and Control Engineering
• Edition: 1st ed.
• Category: Library

✦ Synopsis

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 form T–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.

The authors address adaptive fault compensation problems for T–S fuzzy systems subject to actuator faults. They cover a broad spectrum of related technical topics and to develop a substantial set of adaptive nonlinear system control tools.

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.

✦ Table of Contents

Front Matter ....Pages i-xvii
Introduction (Ruiyun Qi, Gang Tao, Bin Jiang)....Pages 1-24
T–S Fuzzy Systems (Ruiyun Qi, Gang Tao, Bin Jiang)....Pages 25-54
Adaptive Control: A Tutorial Introduction (Ruiyun Qi, Gang Tao, Bin Jiang)....Pages 55-74
T–S Fuzzy System Identification Using I/O Data (Ruiyun Qi, Gang Tao, Bin Jiang)....Pages 75-103
Adaptive T–S Fuzzy State Tracking Control Using State Feedback (Ruiyun Qi, Gang Tao, Bin Jiang)....Pages 105-138
Adaptive T–S Fuzzy Output Tracking Control Using State Feedback (Ruiyun Qi, Gang Tao, Bin Jiang)....Pages 139-162
Adaptive T–S Fuzzy Control Using Output Feedback: SISO Cases (Ruiyun Qi, Gang Tao, Bin Jiang)....Pages 163-195
Adaptive T–S Fuzzy Control Using Output Feedback: MIMO Case (Ruiyun Qi, Gang Tao, Bin Jiang)....Pages 197-221
Adaptive T–S Fuzzy Control with Unknown Membership Functions (Ruiyun Qi, Gang Tao, Bin Jiang)....Pages 223-246
Adaptive Control of T–S Fuzzy Systems with Actuator Faults (Ruiyun Qi, Gang Tao, Bin Jiang)....Pages 247-273
Back Matter ....Pages 275-282

✦ Subjects

Engineering; Control; Systems Theory, Control; Computational Intelligence; Communications Engineering, Networks