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Abstract
This paper considers the global asymptotical synchronization of fractional-order memristive complex-valued neural networks (FOMCVNN), with both parameter uncertainties and multiple time delays. Sufficient conditions of uncertain FOMCVNN, with multiple time delays, are established through the employment of comparison principle and Lyapunov direct method. A numerical example is used to show the effectiveness of the proposed methods.
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