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A membership function deviation approach to network-based H ∞ fuzzy output feedback control for Takagi-Sugeno fuzzy systems

conference contribution
posted on 08.08.2018, 00:00 by X Jia, X Chi, Qing-Long HanQing-Long Han
This paper proposes a new membership function deviation approach to investigate network-based H ∞ fuzzy static output feedback control for Takagi-Sugeno fuzzy systems, where the bilateral network channels with network-induced delays and data-packet dropouts are considered. A novel lemma about the deviations of membership functions in a network environment is first established, which presents a method of determining such deviations and formulates explicitly the quantitative relationship between the deviation bounds and the maximum allowable equivalent delay bound of such a system. Then by combining the above lemma and a matrix decoupling technique, a shape-dependent design approach of H ∞ fuzzy controller is proposed in term of linear matrix inequalities. Finally, an example is given to demonstrate the effectiveness of the proposed method. © 2011 IEEE.

Funding

Category 1 - Australian Competitive Grants (this includes ARC, NHMRC)

History

Start Page

2288

End Page

2293

Number of Pages

6

Start Date

07/11/2011

Finish Date

10/11/2011

ISSN

1553-572X

ISBN-13

9781612849720

Location

Melbourne, Victoria, Australia

Publisher

IEEE

Place of Publication

USA

Peer Reviewed

Yes

Open Access

No

External Author Affiliations

Shanxi University, China

Author Research Institute

Centre for Intelligent Systems

Era Eligible

Yes

Name of Conference

Annual Conference on IEEE Industrial Electronics Society (IECON2011)