Lag Synchronization of Uncertain Chaotic Neural Networks with Mixed Time-Varying Delays Based on Adaptive Control

In this paper, the adaptive lag synchronization control problem for uncertain chaotic neural networks with parameters perturbation is investigated. Both the discrete and distributed time-varying delays terms are considered to model a more realistic dynamical behavior of systems in practice. Based on the Lyapunov functional method and the adaptive feedback technique, several new criteria are derived to guarantee the synchronization of the uncertain chaotic neural networks. Finally, some convincing simulation examples are given to present the effectiveness of the theoretical results.

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