Research on synchronization of chaotic delayed neural networks with stochastic perturbation using impulsive control method |
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| Institution: | 1. School of Mathematics and Statistics, Shandong Normal University, Ji’nan 250014, PR China;2. Center for Control and Engineering Computation, Shandong Normal University, Ji’nan 250014, PR China;3. School of Mathematics, and Research Center for Complex Systems and Network Sciences, Southeast University, Nanjing 210096, PR China |
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| Abstract: | In this paper, an impulsive controller is designed to achieve the exponential synchronization of chaotic delayed neural networks with stochastic perturbation. By using the impulsive delay differential inequality technique that was established in recent publications, several sufficient conditions ensuring the exponential synchronization of chaotic delayed networks are derived, which can be easily checked by LMI Control Toolbox in Matlab. A numerical example and its simulation is given to demonstrate the effectiveness and advantage of the theory results. |
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| Keywords: | Chaotic neural networks Stochastic perturbation Exponential synchronization Impulsive control Time-varying delays Differential inequality |
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