Research Repository

A new approach to stability analysis and stabilization of discrete-time T-S fuzzy time-varying delay systems

Shi, Peng, Wu, Ligang, Su, Xiaojie and Qiu, Jianbin (2011) A new approach to stability analysis and stabilization of discrete-time T-S fuzzy time-varying delay systems. IEEE Transactions on Systems, Man and Cybernetics Part B, 41 (1). pp. 273-286. ISSN 1083-4419

Full text for this resource is not available from the Research Repository.


This paper investigates the problems of stability analysis and stabilization for a class of discrete-time Takagi- Sugeno fuzzy systems with time-varying state delay. Based on a novel fuzzy Lyapunov–Krasovskii functional, a delay partitioning method has been developed for the delay-dependent stability analysis of fuzzy time-varying state delay systems. As a result of the novel idea of delay partitioning, the proposed stability condition is much less conservative than most of the existing results. A delay-dependent stabilization approach based on a nonparallel distributed compensation scheme is given for the closed-loop fuzzy systems. The proposed stability and stabilization conditions are formulated in the form of linear matrix inequalities (LMIs), which can be solved readily by using existing LMI optimization techniques. Finally, two illustrative examples are provided to demonstrate the effectiveness of the techniques proposed in this paper.

Item Type: Article
Uncontrolled Keywords: ResPubID24847, ResPubID19943, delay partitioning, discrete-time, stability, time-delay, Takagi-Sugeno fuzzy systems, T-T fuzzy model
Subjects: Current > FOR Classification > 0801 Artificial Intelligence and Image Processing
Current > FOR Classification > 0802 Computation Theory and Mathematics
Historical > SEO Classification > 970108 Expanding Knowledge in the Information and Computing Sciences
Historical > Faculty/School/Research Centre/Department > Institute for Logistics and Supply Chain Management (ILSCM)
Depositing User: VUIR
Date Deposited: 18 Dec 2012 06:01
Last Modified: 18 Jun 2020 05:06
ePrint Statistics: View download statistics for this item
Citations in Scopus: 376 - View on Scopus

Repository staff only

View Item View Item

Search Google Scholar