Mixed H2/H∞ Control Design for Fuzzy Dynamic Systems via LMI

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

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Author(s)

Detail(s)

Original languageEnglish
Title of host publicationICONIP 1999
Subtitle of host publication6th International Conference on Neural Information Processing
PublisherInstitute of Electrical and Electronics Engineers, Inc.
Pages298-303
Volume1
ISBN (print)0780358716
Publication statusPublished - Nov 1999
Externally publishedYes

Publication series

NameInternational Conference on Neural Information Processing
PublisherIEEE

Conference

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

Link(s)

DOI

DOI
Check@CityULib
Link to Scopus https://www.scopus.com/record/display.uri?eid=2-s2.0-0004546314&origin=recordpage
Permanent Link https://scholars.cityu.edu.hk/en/publications/publication(f2b66960-2491-4915-89a5-62d9f948a08f).html

Abstract

This paper addresses the mixed H2/H∞ control of complex nonlinear systems which can be represented by a fuzzy dynamic model. Two kinds of new control design methods are proposed. The closed-loop fuzzy control system is asymptotically stable and satisfies the mixed H2/H∞ performance. The controller can be obtained by linear matrix inequality (LMI) techniques.

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Publication fingerprints text

100
Closed Loop Engineering
100
Control System Engineering
100
Fuzzy Control Engineering
100
H-Control Design Engineering
100
Control Design Engineering
100
Design Method Engineering
100
Dynamic Models Engineering
100
Mixed H2/H-Performa... Engineering
100
Nonlinear System Engineering
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Citation Format(s)

[ RIS ] [ BibTeX ]
Mixed H2/H∞ Control Design for Fuzzy Dynamic Systems via LMI. / Zhang, Ning; Feng, Gang.
ICONIP 1999: 6th International Conference on Neural Information Processing. Vol. 1 Institute of Electrical and Electronics Engineers, Inc., 1999. p. 298-303 844003 (International Conference on Neural Information Processing).

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