Fuzzy sliding mode control of nonlinear system

Chen Sheng Ting; Tzuu Hseng S. Li; Fan Chu Kung

Fuzzy sliding mode control of nonlinear system

Chen Sheng Ting, Tzuu Hseng S. Li, Fan Chu Kung

Department of Electrical Engineering

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

4 Citations (Scopus)

Abstract

The unmodeled dynamics of nonlinear control system is studied by using fuzzy control approach. Based on variable structure system (VSS) theory, this paper presents two fuzzy control schemes. As the upper bound of system uncertainty is known, it can be used as a clue to form fuzzy control logic. The fuzzy inference provides an estimation for the unknown upper bound. Examples are given to illustrate the application of the proposed methods.

Original language	English
Pages	1620-1625
Number of pages	6
Publication status	Published - 1994
Event	Proceedings of the 3rd IEEE Conference on Fuzzy Systems. Part 3 (of 3) - Orlando, FL, USA Duration: 1994 Jun 26 → 1994 Jun 29

Other

Other	Proceedings of the 3rd IEEE Conference on Fuzzy Systems. Part 3 (of 3)
City	Orlando, FL, USA
Period	94-06-26 → 94-06-29

All Science Journal Classification (ASJC) codes

Software
Theoretical Computer Science
Artificial Intelligence
Applied Mathematics

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title = "Fuzzy sliding mode control of nonlinear system",

abstract = "The unmodeled dynamics of nonlinear control system is studied by using fuzzy control approach. Based on variable structure system (VSS) theory, this paper presents two fuzzy control schemes. As the upper bound of system uncertainty is known, it can be used as a clue to form fuzzy control logic. The fuzzy inference provides an estimation for the unknown upper bound. Examples are given to illustrate the application of the proposed methods.",

author = "Ting, {Chen Sheng} and Li, {Tzuu Hseng S.} and Kung, {Fan Chu}",

year = "1994",

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AU - Li, Tzuu Hseng S.

AU - Kung, Fan Chu

PY - 1994

Y1 - 1994

N2 - The unmodeled dynamics of nonlinear control system is studied by using fuzzy control approach. Based on variable structure system (VSS) theory, this paper presents two fuzzy control schemes. As the upper bound of system uncertainty is known, it can be used as a clue to form fuzzy control logic. The fuzzy inference provides an estimation for the unknown upper bound. Examples are given to illustrate the application of the proposed methods.

AB - The unmodeled dynamics of nonlinear control system is studied by using fuzzy control approach. Based on variable structure system (VSS) theory, this paper presents two fuzzy control schemes. As the upper bound of system uncertainty is known, it can be used as a clue to form fuzzy control logic. The fuzzy inference provides an estimation for the unknown upper bound. Examples are given to illustrate the application of the proposed methods.

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T2 - Proceedings of the 3rd IEEE Conference on Fuzzy Systems. Part 3 (of 3)

Y2 - 26 June 1994 through 29 June 1994

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