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This paper investigates the robust exponential stability for discrete-time Cohen-Grossberg neural networks with both time-varying and distributed delays. By constructing a novel Lyapunov-Krasovskii functional and introducing some free-weighting matrices, two delay-dependent sufficient conditions are obtained by using convex combination. These criteria are presented in terms of LMIs and their feasibility...
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