Fuzzy System Identification and Adaptive Control

• 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: Control engineering.; System theory.; Artificial intelligence.; Computational intelligence.; Electrical engineering.; Control and Systems Theory.; Systems Theory, Control.; Artificial Intelligence.; Computational Intelligence.; Communications Engineering, Networks.

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...

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.