H2 Control Design for Fuzzy Dynamic Systems by LMI

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

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Author(s)

Detail(s)

Original languageEnglish
Title of host publicationICONIP'99, 6th International Conference on Neural Information Processing
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1063-1068
Volume3
ISBN (print)0780358716, 9780780358713
Publication statusPublished - Nov 1999
Externally publishedYes

Publication series

NameICONIP, International Conference on Neural Information Processing - Proceedings
Volume3

Conference

Title6th International Conference on Neural Information Processing (ICONIP'99)
PlaceAustralia
CityPerth
Period16 - 20 November 1999

Abstract

This paper addresses H2 control of complex nonlinear systems which can be represented by a fuzzy dynamic model. Based on a Lyapunov function and a piecewise Lyapunov function respectively, two kinds of new control design methods are proposed. It is shown that the closed-loop fuzzy control system is asymptotically stable with a white-noise attenuation. The H2 controller can be obtained by Linear Matrix Inequalities (LMI) numerical techniques.

Citation Format(s)

H2 Control Design for Fuzzy Dynamic Systems by LMI. / Zhang, Ning; Feng, Gang.
ICONIP'99, 6th International Conference on Neural Information Processing. Vol. 3 Institute of Electrical and Electronics Engineers Inc., 1999. p. 1063-1068 844683 (ICONIP, International Conference on Neural Information Processing - Proceedings; Vol. 3).

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review