Adaptive mamdani fuzzy control for a class of nonlinear time-delays systems

H. Yousef; M. Hamdy

doi:10.1109/ICCES.2009.5383299

Adaptive mamdani fuzzy control for a class of nonlinear time-delays systems

H. Yousef^*, M. Hamdy

^*Corresponding author for this work

Electrical and Computer Engineering

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

2 Citations (Scopus)

Abstract

In this paper, an adaptive fuzzy tracking control is presented for a class of SISO nonlinear strict-feedback systems with unknown time delays. The developed control algorithm uses the Mamdani-type fuzzy systems to approximate on-line the unknown nonlinear function. The Krasovskii-functional is constructed to compensate for the unknown delayed state. The proposed controller guarantees uniform ultimate boundedness of all signals in the closed-loop system. The designed control law is independent of the time delays and has a simple form with only one adaptive parameter, which is required to be updated on-line. Simulation results are presented to verify the effectiveness of the proposed approach.

Original language	English
Title of host publication	Proceedings - The 2009 International Conference on Computer Engineering and Systems, ICCES'09
Pages	121-126
Number of pages	6
DOIs	https://doi.org/10.1109/ICCES.2009.5383299
Publication status	Published - 2009
Event	2009 International Conference on Computer Engineering and Systems, ICCES'09 - Cairo, Egypt Duration: Dec 14 2009 → Dec 16 2009

Other

Other	2009 International Conference on Computer Engineering and Systems, ICCES'09
Country/Territory	Egypt
City	Cairo
Period	12/14/09 → 12/16/09

Keywords

Adaptive fuzzy control
Nonlinear time-delay systems
Stability

ASJC Scopus subject areas

Computer Science(all)
Electrical and Electronic Engineering

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10.1109/ICCES.2009.5383299

Cite this

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title = "Adaptive mamdani fuzzy control for a class of nonlinear time-delays systems",

abstract = "In this paper, an adaptive fuzzy tracking control is presented for a class of SISO nonlinear strict-feedback systems with unknown time delays. The developed control algorithm uses the Mamdani-type fuzzy systems to approximate on-line the unknown nonlinear function. The Krasovskii-functional is constructed to compensate for the unknown delayed state. The proposed controller guarantees uniform ultimate boundedness of all signals in the closed-loop system. The designed control law is independent of the time delays and has a simple form with only one adaptive parameter, which is required to be updated on-line. Simulation results are presented to verify the effectiveness of the proposed approach.",

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doi = "10.1109/ICCES.2009.5383299",

language = "English",

isbn = "9781424458448",

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T1 - Adaptive mamdani fuzzy control for a class of nonlinear time-delays systems

AU - Yousef, H.

AU - Hamdy, M.

PY - 2009

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N2 - In this paper, an adaptive fuzzy tracking control is presented for a class of SISO nonlinear strict-feedback systems with unknown time delays. The developed control algorithm uses the Mamdani-type fuzzy systems to approximate on-line the unknown nonlinear function. The Krasovskii-functional is constructed to compensate for the unknown delayed state. The proposed controller guarantees uniform ultimate boundedness of all signals in the closed-loop system. The designed control law is independent of the time delays and has a simple form with only one adaptive parameter, which is required to be updated on-line. Simulation results are presented to verify the effectiveness of the proposed approach.

AB - In this paper, an adaptive fuzzy tracking control is presented for a class of SISO nonlinear strict-feedback systems with unknown time delays. The developed control algorithm uses the Mamdani-type fuzzy systems to approximate on-line the unknown nonlinear function. The Krasovskii-functional is constructed to compensate for the unknown delayed state. The proposed controller guarantees uniform ultimate boundedness of all signals in the closed-loop system. The designed control law is independent of the time delays and has a simple form with only one adaptive parameter, which is required to be updated on-line. Simulation results are presented to verify the effectiveness of the proposed approach.

KW - Adaptive fuzzy control

KW - Nonlinear time-delay systems

KW - Stability

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DO - 10.1109/ICCES.2009.5383299

M3 - Conference contribution

AN - SCOPUS:77950444946

SN - 9781424458448

SP - 121

EP - 126

BT - Proceedings - The 2009 International Conference on Computer Engineering and Systems, ICCES'09

T2 - 2009 International Conference on Computer Engineering and Systems, ICCES'09

Y2 - 14 December 2009 through 16 December 2009

ER -

Adaptive mamdani fuzzy control for a class of nonlinear time-delays systems

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Keywords

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