Abstract
In this article, the global exponential stability in Lagrange sense for complex-valued neural networks (CVNNs) with time-varying delays is investigated under the condition that the activation functions are assumed to satisfy the globally Lipschitz condition in the complex domain. By constructing appropriate Lyapunov-Krasovskii functionals, a delay-dependent sufficient condition is provided to ascertain the considered CVNNs to be globally exponentially stable in Lagrange sense.
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