Adaptive fuzzy semi-decentralized control for a class of large-scale nonlinear systems based on input-output linearization concept

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

doi:10.1109/ICCES.2007.4447021

Adaptive fuzzy semi-decentralized control for a class of large-scale nonlinear systems based on input-output linearization concept

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

^*Corresponding author for this work

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Stable direct and indirect adaptive fuzzy controllers are presented for a class of interconnected nonlinear systems with unknown nonlinear subsystems and unknown nonlinear interconnections, which are represented not only in the canonical forms [1] but also in the general forms. Hybrid adaptive robust tracking control schemes which are based upon a combination of the H∞ tracking theory, and fuzzy control design are developed such that all the states and signals are bounded and an H∞ tracking control performance is guaranteed without imposing any constraints or assumptions about the interconnections. Extensive simulation example of two-link rigid robotics manipulator is provided to verify the effectiveness of the proposed algorithm.

Original language	English
Title of host publication	ICCES'07 - 2007 International Conference on Computer Engineering and Systems
Pages	27-32
Number of pages	6
DOIs	https://doi.org/10.1109/ICCES.2007.4447021
Publication status	Published - 2007
Event	2007 International Conference on Computer Engineering and Systems, ICCES'07 - Cairo, Egypt Duration: Nov 27 2007 → Nov 29 2007

Other

Other	2007 International Conference on Computer Engineering and Systems, ICCES'07
Country/Territory	Egypt
City	Cairo
Period	11/27/07 → 11/29/07

ASJC Scopus subject areas

Computational Mechanics
Control and Systems Engineering

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10.1109/ICCES.2007.4447021

Cite this

Adaptive fuzzy semi-decentralized control for a class of large-scale nonlinear systems based on input-output linearization concept. / Yousef, H.; El-Madbouly, E.; Eteim, D.; Hamdy, M.

ICCES'07 - 2007 International Conference on Computer Engineering and Systems. 2007. p. 27-32 4447021.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Yousef, H, El-Madbouly, E, Eteim, D & Hamdy, M 2007, Adaptive fuzzy semi-decentralized control for a class of large-scale nonlinear systems based on input-output linearization concept. in ICCES'07 - 2007 International Conference on Computer Engineering and Systems., 4447021, pp. 27-32, 2007 International Conference on Computer Engineering and Systems, ICCES'07, Cairo, Egypt, 11/27/07. https://doi.org/10.1109/ICCES.2007.4447021

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AB - Stable direct and indirect adaptive fuzzy controllers are presented for a class of interconnected nonlinear systems with unknown nonlinear subsystems and unknown nonlinear interconnections, which are represented not only in the canonical forms [1] but also in the general forms. Hybrid adaptive robust tracking control schemes which are based upon a combination of the H∞ tracking theory, and fuzzy control design are developed such that all the states and signals are bounded and an H∞ tracking control performance is guaranteed without imposing any constraints or assumptions about the interconnections. Extensive simulation example of two-link rigid robotics manipulator is provided to verify the effectiveness of the proposed algorithm.

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Adaptive fuzzy semi-decentralized control for a class of large-scale nonlinear systems based on input-output linearization concept

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