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首页> 外文期刊>Communications in Nonlinear Science and Numerical Simulation >Research on synchronization of chaotic delayed neural networks with stochastic perturbation using impulsive control method
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Research on synchronization of chaotic delayed neural networks with stochastic perturbation using impulsive control method

机译:脉冲控制的混沌时滞神经网络与随机扰动同步研究

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摘要

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.
机译:本文设计了一种脉冲控制器来实现带有随机扰动的混沌时滞神经网络的指数同步。通过使用最新出版物中建立的脉冲延迟微分不等式技术,可以得出确保混沌延迟网络指数同步的几个充分条件,这些条件可以通过Matlab中的LMI Control Toolbox轻松检查。数值算例及其仿真证明了理论结果的有效性和优势。

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