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Delay independent stability for additive neural networks. (English) Zbl 1179.34078

Summary: An additive neural network model consisting of \(n\) elements with arbitrary connections, nonlinear activation functions and multiple time delays is considered. Necessary and sufficient conditions for the delay independent local asymptotic stability of equilibrium solutions are determined. Slightly stronger conditions are shown to ensure the delay independent global stability of an equilibrium solution. These results and other delay independent stability results in the literature are compared.

MSC:

34K20 Stability theory of functional-differential equations
34K60 Qualitative investigation and simulation of models involving functional-differential equations
92B20 Neural networks for/in biological studies, artificial life and related topics