Fuzzy logic derivation of neural network models with time delays in subsystems

C.Y. Chen, John Hsu, C.W. Chen

    Research output: Contribution to journalArticle

    39 Citations (Scopus)

    Abstract

    This paper extends the Takagi-Sugeno (T-S) fuzzy model representation to analyze the stability of interconnected systems in which there exist time delays in subsystems. A novel stability criterion which can be solved numerically is presented in terms of Lyapunov's theory for fuzzy interconnected models. In this paper, we use linear difference inclusion (LDI) state-space representation to represent the fuzzy model. Then, the linear matrix inequality (LMI) optimization algorithm is employed to find common solution and then guarantee the asymptotic stability.
    Original languageEnglish
    Pages (from-to)967-974
    JournalInternational Journal on Artificial Intelligence Tools
    Volume14
    Issue number6
    DOIs
    Publication statusPublished - 2005

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