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Fuzzy sampled-data H∞ filtering for systems with time-varying delays and variable sampling periods
conference contribution
posted on 2017-12-06, 00:00 authored by Xiao Hua GeXiao Hua Ge, Xiefu JiangXiefu Jiang, Qing-Long HanQing-Long HanThe 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
5568End Page
5573Number of Pages
6Start Date
2012-01-01Finish Date
2012-01-01ISSN
0743-1619ISBN-13
9781457710957Location
Montreal, QC, CanadaPublisher
Institute of Electrical and Electronics Engineers IncPlace of Publication
Piscataway, United StatesPeer Reviewed
- Yes
Open Access
- No
External Author Affiliations
Centre for Intelligent and Networked Systems (CINS); TBA Research Institute;Era Eligible
- Yes