Stable and robust fuzzy controller for uncertain nonlinear systems based on a multiple-grid-point approach

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

Stable and robust fuzzy controller for uncertain nonlinear systems based on a multiple-grid-point approach

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

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

3 Citations (Scopus)

Abstract

This paper presents the design of a stable and robust fuzzy controller for nonlinear systems subject to large parameter uncertainties based on a multiple-grid-point (MGP) approach. Using a stability criterion derived which involves solving an Algebraic Riccati Equation (ARE), a single-grid-point (SGP) fuzzy controller which can stabilize an uncertain local system in the parameter space can be designed. By combining several fuzzy controllers, a more robust MGP fuzzy controller can be constructed to cover the whole parameter space.

Original language	English
Title of host publication	IECON Proceedings (Industrial Electronics Conference)
Publisher	IEEE Comp Soc
Pages	354-359
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 = "Stable and robust fuzzy controller for uncertain nonlinear systems based on a multiple-grid-point approach",

abstract = "This paper presents the design of a stable and robust fuzzy controller for nonlinear systems subject to large parameter uncertainties based on a multiple-grid-point (MGP) approach. Using a stability criterion derived which involves solving an Algebraic Riccati Equation (ARE), a single-grid-point (SGP) fuzzy controller which can stabilize an uncertain local system in the parameter space can be designed. By combining several fuzzy controllers, a more robust MGP fuzzy controller can be constructed to cover the whole parameter space.",

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

year = "1997",

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

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Lam, HK, Leung, HFF & Tam, PKS 1997, Stable and robust fuzzy controller for uncertain nonlinear systems based on a multiple-grid-point approach. in IECON Proceedings (Industrial Electronics Conference). IEEE Comp Soc, pp. 354-359, 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.

Stable and robust fuzzy controller for uncertain nonlinear systems based on a multiple-grid-point approach. / Lam, H. K.; Leung, Hung Fat Frank; Tam, P. K S.

IECON Proceedings (Industrial Electronics Conference). IEEE Comp Soc, 1997. p. 354-359.

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

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N2 - This paper presents the design of a stable and robust fuzzy controller for nonlinear systems subject to large parameter uncertainties based on a multiple-grid-point (MGP) approach. Using a stability criterion derived which involves solving an Algebraic Riccati Equation (ARE), a single-grid-point (SGP) fuzzy controller which can stabilize an uncertain local system in the parameter space can be designed. By combining several fuzzy controllers, a more robust MGP fuzzy controller can be constructed to cover the whole parameter space.

AB - This paper presents the design of a stable and robust fuzzy controller for nonlinear systems subject to large parameter uncertainties based on a multiple-grid-point (MGP) approach. Using a stability criterion derived which involves solving an Algebraic Riccati Equation (ARE), a single-grid-point (SGP) fuzzy controller which can stabilize an uncertain local system in the parameter space can be designed. By combining several fuzzy controllers, a more robust MGP fuzzy controller can be constructed to cover the whole parameter space.

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Stable and robust fuzzy controller for uncertain nonlinear systems based on a multiple-grid-point approach

Abstract

Conference

ASJC Scopus subject areas

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