Yeong-Jay Chung

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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(More)
The switching signal design for robust global exponential stability of switched nonlinear systems is investigated in this paper. LMI-based delay-dependent criteria are proposed to design the switching signal and guarantee the global exponential stability. Free weighting matrix and additional nonnegative inequality approaches are used in this paper to find(More)
The global asymptotic stability for a class of Cohen–Grossberg neural networks (CGNNs) with time-varying delays is investigated. Delay-independent and delay-dependent stability criteria are proposed to guarantee the robust stability and uniqueness of equilibrium point of CGNNs via LMI approach. Some numerical examples are illustrated to show the(More)
The global exponential stability problem for a class of switched systems with mixed time delays is investigated in this paper. LMI-based delay-dependent and delay-independent criteria are proposed to guarantee the exponential stability for our considered systems. Razumikhin-like approach and Leibniz-Newton formula are used to find the stability results.(More)
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