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  • Title: Global exponential stability for uncertain delayed neural networks of neutral type with mixed time delays.
    Author: Lien CH, Yu KW, Lin YF, Chung YJ, Chung LY.
    Journal: IEEE Trans Syst Man Cybern B Cybern; 2008 Jun; 38(3):709-20. PubMed ID: 18558536.
    Abstract:
    The global exponential stability for a class of uncertain delayed neural networks (DNNs) of neutral type with mixed delays is investigated in this paper. Delay-dependent and delay-independent stability criteria are proposed to guarantee the robust stability and uniqueness of equilibrium point of DNNs via linear matrix inequality and Razumikhin-like approaches. Two classes of perturbations on weighting matrices are considered in this paper. Some numerical examples are illustrated to show the effectiveness of our results.
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