On fuzzy control of nonlinear systems with large parameter uncertainties: Fuzzy scheduler approach

H. K. Lam; Hung Fat Frank Leung; P. K S Tam

On fuzzy control of nonlinear systems with large parameter uncertainties: Fuzzy scheduler approach

H. K. Lam, Hung Fat Frank Leung, P. K S Tam

The Hong Kong Polytechnic University

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

2 Citations (Scopus)

Abstract

This paper presents the design of a fuzzy scheduler which is robust enough to, one, stabilize an uncertain nonlinear system subject to large parameter uncertainties, and two, give an acceptable closed-loop performance. Based on a fuzzy model with parameter uncertainty information, a stability criterion which involves solving an Algebraic Riccati Equation (ARE) is derived, and fuzzy controllers corresponding to the vertices of the operation parameter space (vertex fuzzy controllers) are designed. It is shown that the actual control signal can be interpolated by a proposed fuzzy scheduler from the control signals of vertex fuzzy controllers.

Original language	English
Title of host publication	IECON Proceedings (Industrial Electronics Conference)
Publisher	IEEE Comp Soc
Pages	364-369
Number of pages	6
Publication status	Published - 1 Dec 1997
Event	Proceedings of the 1997 23rd Annual International Conference on Industrial Electronics, Control, and Instrumentation, IECON. Part 2 (of 4) - New Orleans, LA, United States Duration: 9 Nov 1997 → 14 Nov 1997

Conference

Conference	Proceedings of the 1997 23rd Annual International Conference on Industrial Electronics, Control, and Instrumentation, IECON. Part 2 (of 4)
Country/Territory	United States
City	New Orleans, LA
Period	9/11/97 → 14/11/97

ASJC Scopus subject areas

Electrical and Electronic Engineering

Cite this

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title = "On fuzzy control of nonlinear systems with large parameter uncertainties: Fuzzy scheduler approach",

abstract = "This paper presents the design of a fuzzy scheduler which is robust enough to, one, stabilize an uncertain nonlinear system subject to large parameter uncertainties, and two, give an acceptable closed-loop performance. Based on a fuzzy model with parameter uncertainty information, a stability criterion which involves solving an Algebraic Riccati Equation (ARE) is derived, and fuzzy controllers corresponding to the vertices of the operation parameter space (vertex fuzzy controllers) are designed. It is shown that the actual control signal can be interpolated by a proposed fuzzy scheduler from the control signals of vertex fuzzy controllers.",

author = "Lam, {H. K.} and Leung, {Hung Fat Frank} and Tam, {P. K S}",

year = "1997",

month = dec,

day = "1",

language = "English",

pages = "364--369",

booktitle = "IECON Proceedings (Industrial Electronics Conference)",

publisher = "IEEE Comp Soc",

note = "Proceedings of the 1997 23rd Annual International Conference on Industrial Electronics, Control, and Instrumentation, IECON. Part 2 (of 4) ; Conference date: 09-11-1997 Through 14-11-1997",

}

Lam, HK, Leung, HFF & Tam, PKS 1997, On fuzzy control of nonlinear systems with large parameter uncertainties: Fuzzy scheduler approach. in IECON Proceedings (Industrial Electronics Conference). IEEE Comp Soc, pp. 364-369, Proceedings of the 1997 23rd Annual International Conference on Industrial Electronics, Control, and Instrumentation, IECON. Part 2 (of 4), New Orleans, LA, United States, 9/11/97.

On fuzzy control of nonlinear systems with large parameter uncertainties: Fuzzy scheduler approach. / Lam, H. K.; Leung, Hung Fat Frank; Tam, P. K S.
IECON Proceedings (Industrial Electronics Conference). IEEE Comp Soc, 1997. p. 364-369.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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AU - Leung, Hung Fat Frank

AU - Tam, P. K S

PY - 1997/12/1

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N2 - This paper presents the design of a fuzzy scheduler which is robust enough to, one, stabilize an uncertain nonlinear system subject to large parameter uncertainties, and two, give an acceptable closed-loop performance. Based on a fuzzy model with parameter uncertainty information, a stability criterion which involves solving an Algebraic Riccati Equation (ARE) is derived, and fuzzy controllers corresponding to the vertices of the operation parameter space (vertex fuzzy controllers) are designed. It is shown that the actual control signal can be interpolated by a proposed fuzzy scheduler from the control signals of vertex fuzzy controllers.

AB - This paper presents the design of a fuzzy scheduler which is robust enough to, one, stabilize an uncertain nonlinear system subject to large parameter uncertainties, and two, give an acceptable closed-loop performance. Based on a fuzzy model with parameter uncertainty information, a stability criterion which involves solving an Algebraic Riccati Equation (ARE) is derived, and fuzzy controllers corresponding to the vertices of the operation parameter space (vertex fuzzy controllers) are designed. It is shown that the actual control signal can be interpolated by a proposed fuzzy scheduler from the control signals of vertex fuzzy controllers.

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M3 - Conference article published in proceeding or book

SP - 364

EP - 369

BT - IECON Proceedings (Industrial Electronics Conference)

PB - IEEE Comp Soc

T2 - Proceedings of the 1997 23rd Annual International Conference on Industrial Electronics, Control, and Instrumentation, IECON. Part 2 (of 4)

Y2 - 9 November 1997 through 14 November 1997

ER -

On fuzzy control of nonlinear systems with large parameter uncertainties: Fuzzy scheduler approach

Abstract

Conference

ASJC Scopus subject areas

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