Global exponential stability of delayed parabolic neural networks ⋆
نویسندگان
چکیده
Abstract: The globally exponentially stable conditions for delayed parabolic neural networks with variable coefficients are considered in this paper. We first derive the globally exponentially stable condition for delayed parabolic neural networks with variable coefficients based on delay differential inequality combining with Young inequality. Compared with the method of Lyapunov functionals as in most previous studies, our method is simpler and more effective for stability analysis.
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تاریخ انتشار 2008