This paper investigates the robust exponential stability for discrete-timecohen-grossbergneuralnetworks with both time-varying and distributed *** constructing a novel Lyapunov-Krasovskii functional and introducing...
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This paper investigates the robust exponential stability for discrete-timecohen-grossbergneuralnetworks with both time-varying and distributed *** constructing a novel Lyapunov-Krasovskii functional and introducing some free-weighting matrices,two delay-dependent sufficient conditions are obtained by using convex *** criteria are presented in terms of LMIs and their feasibility can be easily checked with the help of LMI in Matlab *** addition,the activation function can be described more generally,which generalizes those earlier ***,the effectiveness of the obtained results is further illustrated by a numerical example in comparison with the existent ones.
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