A Lyapunov Function Based Direct Model Reference Adaptive Fuzzy Control

Youngwan Cho, Yangsun Lee, Kwangyup Lee, Euntai Kim

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

In this paper, a direct Model Reference Adaptive Fuzzy Control (MRAFC) scheme is developed for the plant model whose structure is represented with the fuzzy state space model. The MRAFC scheme is proposed to provide asymptotic tracking of a reference signal for the systems with uncertain or slowly time-varying parameters. The developed control law and adaptive law guarantee that all signals in the closed-loop system are bounded. In addition, the plant state tracks the state of the reference model asymptotically with time for any bounded reference input signal.

Original languageEnglish
Pages (from-to)202-210
Number of pages9
JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3214
Publication statusPublished - 2004 Dec 1

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Model reference adaptive control
Adaptive Fuzzy Control
Reference Model
Lyapunov functions
Fuzzy control
Lyapunov Function
Model structures
Closed loop systems
Time-varying Parameters
State-space Model
Fuzzy Model
Closed-loop System
Model

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

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