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Global exponential stability of cellular neural networks with time-varying coefficients and delays. (English) Zbl 1068.68121

Summary: A class of cellular neural networks with time-varying coefficients and delays is considered. By constructing a suitable Lyapunov functional and utilizing the technique of matrix analysis, some new sufficient conditions on the global exponential stability of solutions are obtained. The results obtained in this paper improve and extend some of the previous results.

MSC:

68T05 Learning and adaptive systems in artificial intelligence
93D05 Lyapunov and other classical stabilities (Lagrange, Poisson, \(L^p, l^p\), etc.) in control theory
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