Adaptive fuzzy decentralized control for interconnected MIMO nonlinear subsystems

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

doi:10.1016/j.automatica.2008.07.018

Adaptive fuzzy decentralized control for interconnected MIMO nonlinear subsystems

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

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

69 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 language	English
Pages (from-to)	456-462
Number of pages	7
Journal	Automatica
Volume	45
Issue number	2
DOIs	https://doi.org/10.1016/j.automatica.2008.07.018
Publication status	Published - Feb 2009
Externally published	Yes

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

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10.1016/j.automatica.2008.07.018

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title = "Adaptive fuzzy decentralized control for interconnected MIMO nonlinear subsystems",

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.",

keywords = "Adaptive fuzzy control, Interconnected nonlinear MIMO subsystems, Multi-machine power system, Stability",

author = "H. Yousef and M. Hamdy and E. El-Madbouly and D. Eteim",

year = "2009",

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doi = "10.1016/j.automatica.2008.07.018",

language = "English",

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T1 - Adaptive fuzzy decentralized control for interconnected MIMO nonlinear subsystems

AU - Yousef, H.

AU - Hamdy, M.

AU - El-Madbouly, E.

AU - Eteim, D.

PY - 2009/2

Y1 - 2009/2

N2 - 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.

AB - 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.

KW - Adaptive fuzzy control

KW - Interconnected nonlinear MIMO subsystems

KW - Multi-machine power system

KW - Stability

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DO - 10.1016/j.automatica.2008.07.018

M3 - Article

AN - SCOPUS:58349122503

SN - 0005-1098

VL - 45

SP - 456

EP - 462

JO - Automatica

JF - Automatica

IS - 2

ER -

Adaptive fuzzy decentralized control for interconnected MIMO nonlinear subsystems

Abstract

Keywords

ASJC Scopus subject areas

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