Adaptive projective synchronization of memristive neural networks with time-varying delays and stochastic perturbation
Ruoxia Li - Department of Mathematics and Research Center for Complex Systems and Network Sciences, Southeast University, 210096, Nanjing, China (email)
Abstract: This paper is concerned with the projective synchronization issue for memristive neural networks with time-varying delays and stochastic perturbations. Based on LaSalle-type invariance principle of stochastic functional-differential equations, by applying Lyapunov functional approach, several sufficient conditions are developed to achieve the projective synchronization between the master-slave systems with time-varying delays under stochastic perturbation and adaptive controller. A numerical example and its simulation is given to show the effectiveness of the theoretical results in this paper.
Keywords: Memristor, neural network, time-varying delays, synchronization, stochastic perturbations.
Received: May 2014; Revised: January 2015; Available Online: October 2015.
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