Adaptive fuzzy tracking control of nonlinear systems with input time delay

Hassan Yousef; Said Al-Abri

doi:10.1109/ISIE.2014.6864582

Adaptive fuzzy tracking control of nonlinear systems with input time delay

Hassan Yousef, Said Al-Abri

Electrical and Computer Engineering

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

Abstract

This paper proposes an adaptive fuzzy logic tracking control for unknown nonlinear systems having input time delay. In the controller design, a filtered tracking error to facilitate handling of the time delay and fuzzy approximation of nonlinear function are introduced. Lyapunov stability analysis shows that the designed tracking control yields bounded signals of the closed-loop system. Two simulation examples are provided to prove the effectiveness of the proposed controller in achieving tracking with bounded control signals.

Original language	English
Title of host publication	IEEE International Symposium on Industrial Electronics
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	35-39
Number of pages	5
ISBN (Print)	9781479923991
DOIs	https://doi.org/10.1109/ISIE.2014.6864582
Publication status	Published - 2014
Event	2014 IEEE 23rd International Symposium on Industrial Electronics, ISIE 2014 - Istanbul, Turkey Duration: Jun 1 2014 → Jun 4 2014

Other

Other	2014 IEEE 23rd International Symposium on Industrial Electronics, ISIE 2014
Country/Territory	Turkey
City	Istanbul
Period	6/1/14 → 6/4/14

Keywords

Adaptive fuzzy control
Input-delay
Nonlinear system

ASJC Scopus subject areas

Electrical and Electronic Engineering
Control and Systems Engineering

Access to Document

10.1109/ISIE.2014.6864582

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Yousef, H & Al-Abri, S 2014, Adaptive fuzzy tracking control of nonlinear systems with input time delay. in IEEE International Symposium on Industrial Electronics., 6864582, Institute of Electrical and Electronics Engineers Inc., pp. 35-39, 2014 IEEE 23rd International Symposium on Industrial Electronics, ISIE 2014, Istanbul, Turkey, 6/1/14. https://doi.org/10.1109/ISIE.2014.6864582

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abstract = "This paper proposes an adaptive fuzzy logic tracking control for unknown nonlinear systems having input time delay. In the controller design, a filtered tracking error to facilitate handling of the time delay and fuzzy approximation of nonlinear function are introduced. Lyapunov stability analysis shows that the designed tracking control yields bounded signals of the closed-loop system. Two simulation examples are provided to prove the effectiveness of the proposed controller in achieving tracking with bounded control signals.",

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author = "Hassan Yousef and Said Al-Abri",

year = "2014",

doi = "10.1109/ISIE.2014.6864582",

language = "English",

isbn = "9781479923991",

pages = "35--39",

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publisher = "Institute of Electrical and Electronics Engineers Inc.",

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AB - This paper proposes an adaptive fuzzy logic tracking control for unknown nonlinear systems having input time delay. In the controller design, a filtered tracking error to facilitate handling of the time delay and fuzzy approximation of nonlinear function are introduced. Lyapunov stability analysis shows that the designed tracking control yields bounded signals of the closed-loop system. Two simulation examples are provided to prove the effectiveness of the proposed controller in achieving tracking with bounded control signals.

KW - Adaptive fuzzy control

KW - Input-delay

KW - Nonlinear system

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BT - IEEE International Symposium on Industrial Electronics

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2014 IEEE 23rd International Symposium on Industrial Electronics, ISIE 2014

Y2 - 1 June 2014 through 4 June 2014

ER -

Adaptive fuzzy tracking control of nonlinear systems with input time delay

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Keywords

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