Global Exponential Stability of Cellular Neural Network with Mixed Discrete and Distributed Delays
نویسندگان
چکیده
Abstract: This paper is concerned with analysis problem for the global exponential stability of recurrent neural networks (RNNs) with mixed discrete and distributed delays, unlike other papers, the nodes are associated with the topology of network. By using Lyapunov-Krasovskii functional and Young inequality, we give the sufficient condition of global exponential stability of the new cellular neural network, in addition, the example is provided to illustrate the applicability of the result.
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