Local stability analysis of continuous-time Takagi–Sugeno fuzzy systems: A fuzzy Lyapunov function approach

This paper proposes a strategy to estimate invariant subsets of the domain of attraction (DA) for asymptotically stable zero equilibrium points of continuous-time Takagi–Sugeno (T–S) fuzzy systems. Specifically, by using Lyapunov’s stability theory and the linear matrix inequality (LMI) technique, s...

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Bibliographic Details
Published inInformation sciences Vol. 257; pp. 163 - 175
Main Authors Lee, Dong Hwan, Joo, Young Hoon, Tak, Myung Hwan
Format Journal Article
LanguageEnglish
Published Elsevier Inc 01.02.2014
Subjects
Continuous-time Takagi–Sugeno (T–S) fuzzy system
Convex optimization
Domain of attraction (DA)
Fuzzy Lyapunov function (FLF)
Local stability
Domain of attraction (DA)
Continuous-time Takagi–Sugeno (T–S) fuzzy system
Convex optimization
Fuzzy Lyapunov function (FLF)
Local stability
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Summary:This paper proposes a strategy to estimate invariant subsets of the domain of attraction (DA) for asymptotically stable zero equilibrium points of continuous-time Takagi–Sugeno (T–S) fuzzy systems. Specifically, by using Lyapunov’s stability theory and the linear matrix inequality (LMI) technique, sufficient conditions for proving the local stability are provided in terms of single-parameter minimization problems subject to LMI constraints or eigenvalue problems, which are solvable via convex optimizations. The fuzzy Lyapunov functions (FLFs), expressed by the so-called multi-dimensional fuzzy summations, are employed to characterize invariant subsets of the DA as sublevel sets of the FLFs. To compute a larger inner estimate of the DA, an iterative LMI algorithm is also developed. Finally, illustrative examples show the efficacy of the approach.
ISSN:0020-0255
DOI:10.1016/j.ins.2013.08.036