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Stability analysis and H∞ controller design of discrete-time fuzzy large-scale systems based on piecewise Lyapunov functions

    Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

    Abstract

    This paper is concerned with stability analysis and H∞ decentralized control of discrete-time fuzzy large-scale systems based on piecewise Lyapunov functions. The fuzzy large-scale systems consist of J interconnected discrete-time Takagi-Sugeno (T-S) fuzzy subsystems, and the stability analysis is based on Lyapunov functions that are piecewise quadratic. It is shown that the stability of the discrete-time fuzzy large-scale systems can be established if a piecewise quadratic Lyapunov function can be constructed, and moreover, the function can be obtained by solving a set of linear matrix inequalities (LMIs) that are numerically feasible. The H∞ controllers are also designed by solving a set of LMIs based on these powerful piecewise quadratic Lyapunov functions. It is demonstrated via numerical examples that the stability and controller synthesis results based on the piecewise quadratic Lyapunov functions are less conservative than those based on the common quadratic Lyapunov functions. 
    Original languageEnglish
    Pages (from-to)1390-1401
    JournalIEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
    Volume38
    Issue number5
    Online published9 Sept 2008
    DOIs
    Publication statusPublished - Oct 2008

    Research Keywords

    • Discrete-time
    • Fuzzy large-scale system
    • H∞ control
    • Linear matrix inequalities (LMIs)
    • Stability
    • Takagi-Sugeno (T-S) model

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