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This paper studies the asymptotic stability analysis for static recurrent neural networks with interval time-varying delays. The activation functions are assumed to be neither monotonic, nor differentiable, nor bounded. Without introducing any free-weighting matrices, some delay-range-dependent stability criteria are established by constructing a new Lyapunov-Krasovskii functional. As a result, the...
This paper studies the problem of asymptotic stability for static recurrent neural networks with time delay. Based on the piecewise delay approach, a new Lyapunov functional is constructed. The activation functions are assumed to be neither monotonic, nor differentiable, nor bounded. Without introducing any free-weighting matrices, some delay-range-dependent stability criteria are established. As...
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