Fuzzy System Identification and Adaptive Control

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 f...

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Bibliographic Details
Main Authors: Qi, Ruiyun (Author), Tao, Gang (Author), Jiang, Bin (Author)
Corporate Author: SpringerLink (Online service)
Format: e-Book
Language:English
Published: Cham : Springer International Publishing : 2019.
Imprint: Springer,
Edition:1st ed. 2019.
Series:Communications and Control Engineering,
Subjects:
Control engineering.
System theory.
Control theory.
Artificial intelligence.
Computational intelligence.
Telecommunication.
Control and Systems Theory.
Systems Theory, Control.
Artificial Intelligence.
Computational Intelligence.
Communications Engineering, Networks.
Online Access:Full-text access
Table of Contents:
  • Introduction
  • T-S Fuzzy Systems
  • Adaptive Control
  • T-S Fuzzy System Identification
  • Adaptive T-S Fuzzy State Tracking Control Using State Feedback
  • Adaptive T-S Fuzzy Output Tracking Control Using State Feedback
  • Adaptive T-S Fuzzy Control Using Output Feedback: SISO Case
  • Adaptive T-S Fuzzy Control Using Output Feedback: MIMO Case
  • Adaptive T-S Fuzzy Control with Unknown Membership Functions
  • Adaptive T-S Fuzzy Control Systems For Fault Compensation
  • Conclusions.

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