H2 Control Design for Fuzzy Dynamic Systems by LMI
Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45) › 32_Refereed conference paper (with ISBN/ISSN) › peer-review
Author(s)
Detail(s)
Original language | English |
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Title of host publication | ICONIP'99, 6th International Conference on Neural Information Processing |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 1063-1068 |
Volume | 3 |
ISBN (Print) | 0780358716, 9780780358713 |
Publication status | Published - Nov 1999 |
Externally published | Yes |
Publication series
Name | ICONIP, International Conference on Neural Information Processing - Proceedings |
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Volume | 3 |
Conference
Title | 6th International Conference on Neural Information Processing (ICONIP'99) |
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Place | Australia |
City | Perth |
Period | 16 - 20 November 1999 |
Link(s)
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 Works (RGC: 12, 32, 41, 45) › 32_Refereed conference paper (with ISBN/ISSN) › peer-review