Association Journal of CSIAM
Supervised by Ministry of Education of PRC
Sponsored by Xi'an Jiaotong University
ISSN 1005-3085  CN 61-1269/O1

Chinese Journal of Engineering Mathematics ›› 2025, Vol. 42 ›› Issue (4): 645-656.doi: 10.3969/j.issn.1005-3085.2025.04.004

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An Improve Stability Criterion for T-S Fuzzy Systems with Random Time-varying Delay

YIN Zongming,   CHOU Lei,   ZHANG Ning,  ZHANG Weihua   

  1. School of Mechanical Engineering, Guizhou University of Engineering Science, Bijie 551700
  • Received:2024-05-15 Accepted:2025-01-04 Online:2025-08-15 Published:2025-10-15
  • Supported by:
    The National Natural Science Foundation of China (52465059); the Guizhou Provincial Basic Research Program (Natural Science) (QianKeHeJiChu-ZK[2024]YiBan602); the Natural Science Research Project of Guizhou Higher Education Institutions of China (QianJiaoJi(2024)257th; QianJiaoJi(2022)401th); the Guizhou Province High Level Innovative Talent Project (BiKeRenCaiHe(2025)8th); the Science and Technology Project of Bijie City (BiKeLianHe(2023)18th; BiKeLianHe(2023)43th). 

Abstract:

The stability problem of T-S fuzzy systems with random time-varying delay is investigated in this article. First, a new random variable dependent system model is established by considering the stochastic time-varying characteristics of time-varying delay, and the original systems can be implied by it. Based on the new system model, a suitable Lyapunov functional is constructed that can utilize the information of membership function, random time-varying delay and its derivative. The fuzzy reciprocally convex integral inequality is used to estimate the quadratic integral term from the derivative of the Lyapunov functional, and a new membership function and derivative of delay function dependent system stability criterion is proposed. For both known and unknown cases of system random time-varying delay function, the obtained stability criterion is applicable, and has less conservatism. Finally, the effectiveness of the proposed stability criterion is verified through two numerical examples.

Key words: T-S fuzzy systems, membership function, random time-varying delay, stability criterion

CLC Number: