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, http://id.loc.gov/vocabulary/relators/aut), Tao, Gang (http://id.loc.gov/vocabulary/relators/aut), Jiang, Bin (http://id.loc.gov/vocabulary/relators/aut)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
Edition:1st ed. 2019.
Series:Communications and Control Engineering,
Subjects:
Online Access:Full Text via HEAL-Link
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.