Adaptive fuzzy decentralized control for interconnected MIMO nonlinear subsystems

H. Yousef, M. Hamdy, E. El-Madbouly, D. Eteim

Research output: Contribution to journalArticle

59 Citations (Scopus)

Abstract

This paper describes an adaptive fuzzy control strategy for decentralized control for a class of interconnected nonlinear systems with MIMO subsystems. An adaptive robust tracking control schemes based on fuzzy basis function approach is developed such that all the states and signals are bounded. In addition, each subsystem is able to adaptively compensate for disturbances and interconnections with unknown bounds. The resultant adaptive fuzzy decentralized control with multi-controller architecture guarantees stability and convergence of the output errors to zero asymptotically by local output-feedback. An extensive application example of a three-machine power system is discussed in detail to verify the effectiveness of the proposed algorithm.

Original languageEnglish
Pages (from-to)456-462
Number of pages7
JournalAutomatica
Volume45
Issue number2
DOIs
Publication statusPublished - Feb 2009

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Decentralized control
Fuzzy control
MIMO systems
Nonlinear systems
Feedback
Controllers

Keywords

  • Adaptive fuzzy control
  • Interconnected nonlinear MIMO subsystems
  • Multi-machine power system
  • Stability

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

Adaptive fuzzy decentralized control for interconnected MIMO nonlinear subsystems. / Yousef, H.; Hamdy, M.; El-Madbouly, E.; Eteim, D.

In: Automatica, Vol. 45, No. 2, 02.2009, p. 456-462.

Research output: Contribution to journalArticle

Yousef, H. ; Hamdy, M. ; El-Madbouly, E. ; Eteim, D. / Adaptive fuzzy decentralized control for interconnected MIMO nonlinear subsystems. In: Automatica. 2009 ; Vol. 45, No. 2. pp. 456-462.
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