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Status已发表Published
TitleStability and Stabilization of T-S Fuzzy Time-Delay Systems under Sampled-Data Control via New Asymmetric Functional Method
Creator
Date Issued2023-09-01
Source PublicationIEEE Transactions on Fuzzy Systems
ISSN1063-6706
Volume31Issue:9Pages:3197-3209
Abstract

This article studies the stability and stabilization of Takagi-Sugeno (T-S) fuzzy time-delay systems under sampled-data control via a new asymmetric Lyapunov-Krasovskii functional (LKF) method. The method improves the common symmetric basic functional term. Besides, we improve the looped-functional term and the discontinuous functional term through combining the integral about time delay and each sampling interval, respectively. Based on the abovementioned new approaches, we present the stability and stabilization results with less conservativeness than the literature through linear matrix inequalities. In the process, we introduce a simplification approach for stabilization of sampled-data control, which effectively reduces the computational complexity of results. At last, we provide three examples to verify the effects and advantages of our results.

KeywordAsymmetric functional method looped-functional and discontinuous functional sampled-data control simplification approach for stabilization Takagi-Sugeno (T-S) fuzzy time-delay systems
DOI10.1109/TFUZZ.2023.3247030
URLView source
Indexed BySCIE
Language英语English
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science ; Artificial Intelligence ; Engineering ; Electrical & Electronic
WOS IDWOS:001060511100025
Scopus ID2-s2.0-85149382548
Citation statistics
Cited Times:22[WOS]   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
Identifierhttp://repository.uic.edu.cn/handle/39GCC9TT/10928
CollectionFaculty of Science and Technology
Corresponding AuthorLin, Chong
Affiliation
1.Qingdao University, Institute of Complexity Science, Shandong Key Laboratory of Industrial Control Technology, School of Automation, Qingdao, 266071, China
2.Nanjing University of Science and Technology, School of Automation, Nanjing, 210094, China
3.Beijing Normal University, Institute of Artificial Intelligence and Future Networks, Zhuhai, 519087, China
4.BNU-HKBU United International College, Guangdong Key Lab of AI and Multi-Modal Data Processing, Guangdong Provincial Key Laboratory of Interdisciplinary Research and Application for Data Science, Zhuhai, 519087, China
Recommended Citation
GB/T 7714
Sheng, Zhaoliang,Lin, Chong,Chen, Binget al. Stability and Stabilization of T-S Fuzzy Time-Delay Systems under Sampled-Data Control via New Asymmetric Functional Method[J]. IEEE Transactions on Fuzzy Systems, 2023, 31(9): 3197-3209.
APA Sheng, Zhaoliang, Lin, Chong, Chen, Bing, & Wang, Qing Guo. (2023). Stability and Stabilization of T-S Fuzzy Time-Delay Systems under Sampled-Data Control via New Asymmetric Functional Method. IEEE Transactions on Fuzzy Systems, 31(9), 3197-3209.
MLA Sheng, Zhaoliang,et al."Stability and Stabilization of T-S Fuzzy Time-Delay Systems under Sampled-Data Control via New Asymmetric Functional Method". IEEE Transactions on Fuzzy Systems 31.9(2023): 3197-3209.
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