Stable fuzzy adaptive control for a class of nonlinear system

Yahui Li; Xianyi Zhuang; Sheng Qiang; Guozhong Liu; Xiaorong Mei

Stable fuzzy adaptive control for a class of nonlinear system

Yahui Li^*
, Xianyi Zhuang
, Sheng Qiang
, Guozhong Liu
, Xiaorong Mei

^*Corresponding author for this work

School of Astronautics

Harbin Institute of Technology

Research output: Contribution to conference › Paper › peer-review

1 Scopus citations

Abstract

A new hybrid fuzzy adaptive control scheme is presented systematically for a class of affine nonlinear unknown systems using Lyapunov stability theory. Because of combining fuzzy control with fuzzy identification, it demands little pre-knowledge about the plant models, so the method is generally applicable. In order to overcome the problem of the model mismatch, a compensation control term is introduced into the controller. Based on the conception, approximate error coefficient, the degree of accuracy of the fuzzy identifier can be described quantitatively. And according to it, the identifier can be designed easily and suitably.

Original language	English
Pages	1891-1895
Number of pages	5
State	Published - 2002
Event	Proceedings of the 4th World Congress on Intelligent Control and Automation - Shanghai, China Duration: 10 Jun 2002 → 14 Jun 2002

Conference

Conference	Proceedings of the 4th World Congress on Intelligent Control and Automation
Country/Territory	China
City	Shanghai
Period	10/06/02 → 14/06/02

Keywords

Affine nonlinear system
Fuzzy adaptive control
Lyapunov stability theory
Relatively approximate error

Cite this

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title = "Stable fuzzy adaptive control for a class of nonlinear system",

abstract = "A new hybrid fuzzy adaptive control scheme is presented systematically for a class of affine nonlinear unknown systems using Lyapunov stability theory. Because of combining fuzzy control with fuzzy identification, it demands little pre-knowledge about the plant models, so the method is generally applicable. In order to overcome the problem of the model mismatch, a compensation control term is introduced into the controller. Based on the conception, approximate error coefficient, the degree of accuracy of the fuzzy identifier can be described quantitatively. And according to it, the identifier can be designed easily and suitably.",

keywords = "Affine nonlinear system, Fuzzy adaptive control, Lyapunov stability theory, Relatively approximate error",

author = "Yahui Li and Xianyi Zhuang and Sheng Qiang and Guozhong Liu and Xiaorong Mei",

year = "2002",

language = "英语",

pages = "1891--1895",

note = "Proceedings of the 4th World Congress on Intelligent Control and Automation ; Conference date: 10-06-2002 Through 14-06-2002",

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T1 - Stable fuzzy adaptive control for a class of nonlinear system

AU - Li, Yahui

AU - Zhuang, Xianyi

AU - Qiang, Sheng

AU - Liu, Guozhong

AU - Mei, Xiaorong

PY - 2002

Y1 - 2002

N2 - A new hybrid fuzzy adaptive control scheme is presented systematically for a class of affine nonlinear unknown systems using Lyapunov stability theory. Because of combining fuzzy control with fuzzy identification, it demands little pre-knowledge about the plant models, so the method is generally applicable. In order to overcome the problem of the model mismatch, a compensation control term is introduced into the controller. Based on the conception, approximate error coefficient, the degree of accuracy of the fuzzy identifier can be described quantitatively. And according to it, the identifier can be designed easily and suitably.

AB - A new hybrid fuzzy adaptive control scheme is presented systematically for a class of affine nonlinear unknown systems using Lyapunov stability theory. Because of combining fuzzy control with fuzzy identification, it demands little pre-knowledge about the plant models, so the method is generally applicable. In order to overcome the problem of the model mismatch, a compensation control term is introduced into the controller. Based on the conception, approximate error coefficient, the degree of accuracy of the fuzzy identifier can be described quantitatively. And according to it, the identifier can be designed easily and suitably.

KW - Affine nonlinear system

KW - Fuzzy adaptive control

KW - Lyapunov stability theory

KW - Relatively approximate error

UR - https://www.scopus.com/pages/publications/0036946217

M3 - 论文

AN - SCOPUS:0036946217

SP - 1891

EP - 1895

T2 - Proceedings of the 4th World Congress on Intelligent Control and Automation

Y2 - 10 June 2002 through 14 June 2002

ER -

Stable fuzzy adaptive control for a class of nonlinear system

Abstract

Conference

Keywords

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