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Stability analysis and constrained control of a class of fuzzy positive systems with delays using linear copositive Lyapunov functional

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    Abstract

    This paper deals with the stability of nonlinear continuous-time positive systems with delays represented by the Takagi-Sugeno (T-S) fuzzy model. A simpler sufficient condition of stability based on linear copositive Lyapunov functional (LCLF) is derived which is not relevant to the magnitude of delays. Based on the result of stability, the problem of controller design via the so-called parallel distributed compensation (PDC) scheme is solved. The control is under a positivity constraint, which means that the resulting closed-loop systems are not only stable, but also positive. Constrained positive control is also considered, further requiring that the trajectory of the closed-loop system is bounded by a prescribed boundary if the initial condition is bounded by the same boundary. The stability results are formulated as linear programs (LPs) and linear matrix inequalities (LMIs), and the control laws can be obtained by solving a set of bilinear matrix inequalities (BMIs). A numerical example and a real plant are studied to demonstrate the efficiency of the proposed method. © Springer Science+Business Media, LLC 2012.
    Original languageEnglish
    Pages (from-to)1863-1875
    JournalCircuits, Systems, and Signal Processing
    Volume31
    Issue number5
    DOIs
    Publication statusPublished - Oct 2012

    Research Keywords

    • Constrained control
    • Delays
    • Fuzzy positive systems
    • Linear copositive Lyapunov function (LCLF)

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