首页> 外文会议>Computational Intelligence and Security, 2009. CIS '09 >Lag Synchronization of Uncertain Chaotic Neural Networks with Mixed Time-Varying Delays Based on Adaptive Control
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Lag Synchronization of Uncertain Chaotic Neural Networks with Mixed Time-Varying Delays Based on Adaptive Control

机译:基于自适应控制的不确定时滞混合混沌神经网络的时滞同步

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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.
机译:本文研究了具有参数摄动的不确定混沌神经网络的自适应滞后同步控制问题。在实践中,离散和时变时滞项都被认为是对系统更真实的动力学行为进行建模的模型。基于Lyapunov泛函方法和自适应反馈技术,推导了几个新的准则来保证不确定混沌神经网络的同步性。最后,给出了一些令人信服的仿真实例,以证明理论结果的有效性。

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