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학술지 PI-type Event-triggered H ∞ Filter for Networked T-S Fuzzy Systems using Affine Matched Membership Function Approach
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저자
권우경, 진용식, 이상문
발행일
202011
출처
Applied Mathematics and Computation, v.385, pp.1-17
ISSN
0096-3003
출판사
Elsevier
DOI
https://dx.doi.org/10.1016/j.amc.2020.125420
협약과제
19ZD1100, 대경권 지역산업 기반 ICT융합기술 고도화 지원사업, 문기영
초록
This paper handles a design of event-triggered H?닞 filter for T-S fuzzy systems in the connection of network communication. The sampled-data fuzzy filter, which take into account both the measurement output and the fuzzy consequent parameter as the sampled signal, is expressed as a fuzzy system with a time-varying delay including the event-triggering variable. Under these considerations, a novel proportional-plus-integral (PI) event triggering condition is proposed to alleviate network allocation. Based time-delay approach, the stability of the filtering error systems is guaranteed by a new Lyapunov Kravoskii functional and by employing generalized free-weighting matrix integral inequality. Furthermore, an affine matched membership based distributed-filter (AMDF) is designed to improve the H?닞 performance, utilizing affine transformed membership function as a membership function of fuzzy filter. The affine matched membership function relaxes the parameterized stability condition due to the deviation bounds of sampled fuzzy membership function between consecutive sampling times. To show the effectiveness of proposed method, the results are compared with the unused ones.
KSP 제안 키워드
Fuzzy filter, Integral Inequality, Network Communication, Stability condition, T-S fuzzy systems, Time-varying delay, event-triggered, event-triggering, free-weighting matrix, fuzzy membership function, sampled-data