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  • Title: Stability analysis of Takagi-Sugeno fuzzy cellular neural networks with time-varying delays.
    Author: Hou YY, Liao TL, Yan JJ.
    Journal: IEEE Trans Syst Man Cybern B Cybern; 2007 Jun; 37(3):720-6. PubMed ID: 17550125.
    Abstract:
    This correspondence investigates the global exponential stability problem of Takagi-Sugeno fuzzy cellular neural networks with time-varying delays (TSFDCNNs). Based on the Lyapunov-Krasovskii functional theory and linear matrix inequality technique, a less conservative delay-dependent stability criterion is derived to guarantee the exponential stability of TSFDCNNs. By constructing a Lyapunov-Krasovskii functional, the supplementary requirement that the time derivative of time-varying delays must be smaller than one is released in the proposed delay-dependent stability criterion. Two illustrative examples are provided to verify the effectiveness of the proposed results.
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