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Fuzzy sampled-data H∞ filtering for systems with time-varying delays and variable sampling periods

conference contribution
posted on 06.12.2017, 00:00 by Xiao Hua Ge, Xiefu Jiang, Qing-Long Han
The sampled-data H∞ filtering for a Takagi-Sugeno (T-S) model-based fuzzy system with an interval time-varying state delay and a variable sampling period is considered. A new Lyapunov-Krasovskii functional is constructed by utilizing more information about the system's current state and the delayed state. Based on the new Lyapunov-Krasovskii functional and a novel inequality bounding technique, a suitable sampled-data fuzzy H∞ filter is designed to ensure the asymptotic stability and prescribed H∞ attenuation level of the filter error system. A numerical example and a modified continuous stirred tank reactor (CSTR) system are given to illustrate the effectiveness of the proposed method.

Funding

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

History

Start Page

5568

End Page

5573

Number of Pages

6

Start Date

01/01/2012

Finish Date

01/01/2012

ISSN

0743-1619

ISBN-13

9781457710957

Location

Montreal, QC, Canada

Publisher

Institute of Electrical and Electronics Engineers Inc

Place of Publication

Piscataway, United States

Peer Reviewed

Yes

Open Access

No

External Author Affiliations

Centre for Intelligent and Networked Systems (CINS); TBA Research Institute;

Era Eligible

Yes

Name of Conference

American Control Conference