상세정보
학술지
Further Results on Sampled-data H∞ Filtering for T-S Fuzzy Systems with Asynchronous Premise Variables
- 발행일
- 202206
- 출처
- IEEE Transactions on Fuzzy Systems, v.30 no.6, pp.1864-1874
- ISSN
- 1063-6706
- 출판사
- IEEE
- 협약과제
- 20PD1200, 0.1mm 정밀도의 위치 및 속도가속도접촉력 교시가 필수적인 고난도 조립작업을 위한 범용 멀티모드 로봇 교시 디바이스 개발, 강동엽
- 초록
- This article presents a new sampled-data fuzzy filter design method for Takagi-Sugeno fuzzy systems with the asynchronous premise variables. In the new fuzzy filter design method, the membership functions of the filter are affine transformed by scaling and biasing the system's membership functions. Taking the advantage of the newly proposed method, the asynchronous problem of the premise variables between the system and filter is easily resolved. Based on the looped function and a modified free-weighting matrix inequality, the sampled system's output is handled, and the filter design condition is formulated in terms of a parameterized linear matrix inequality with affine matched fuzzy parameter vectors. Additionally, a modified Finsler's lemma is devised to handle the affine matched fuzzy parameter vectors. By utilizing the relationship between the transformed membership functions, the filter design condition for H?닞 performance is enhanced with larger allowable maximum bounds of variable sampling intervals. Lastly, the superiority of the presented method is verified by comparing the numerical simulations with existing methods.
- KSP 제안 키워드
- Design conditions, Filter design methods, Finsler's lemma, Fuzzy filter, Linear Matrix Inequalities(LMIs), Matrix inequality, Membership Functions, Numerical simulations, Premise variables, T-S fuzzy systems, Takagi-Sugeno(TS)