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In this paper, we study the global exponential stability problem for a class of discrete-time memristive recurrent neural networks (MRNNs) with time-varying delays. For the neural networks under consideration, the activation functions are assumed to be slope-bounded. By employing the theories of set-valued mapping, difference inclusions as well as homeomorphic mapping, the existence of the equilibrium...
This paper is concerned with the synchronization problem for a class of discrete-time memristive recurrent neural networks with time-delays. By using the piecewise Lyapunov function technique, sufficient conditions are obtained to guarantee the exponential synchronization of the discrete-time memristive neural networks with time-delays. By recurring to the delay partitioning method and the free-weighting...
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