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首页> 外文期刊>Neural Networks and Learning Systems, IEEE Transactions on >Synchronization of Chaotic Lur’e Systems With Time Delays Using Sampled-Data Control
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Synchronization of Chaotic Lur’e Systems With Time Delays Using Sampled-Data Control

机译:使用采样数据控制的具有时间延迟的混沌Lur'e系统同步

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摘要

The asymptotical synchronization problem is investigated for two identical chaotic Lur’e systems with time delays. The sampled-data control method is employed for the system design. A new synchronization condition is proposed in the form of linear matrix inequalities. The error system is shown to be asymptotically stable with the constructed new piecewise differentiable Lyapunov–Krasovskii functional (LKF). Different from the existing work, the new LKF makes full use of the information in the nonlinear part of the system. The obtained stability condition is less conservative than some of the existing ones. A longer sampling period is achieved with the new method. The numerical examples are given and the simulations are performed on Chua’s circuit. The results show the superiorities and effectiveness of the proposed control method.
机译:研究了两个相同的具有时滞的混沌Lur’e系统的渐近同步问题。采样数据控制方法用于系统设计。以线性矩阵不等式的形式提出了一种新的同步条件。使用构造的新的分段可微分的Lyapunov–Krasovskii函数(LKF),该误差系统被证明是渐近稳定的。与现有工作不同,新的LKF充分利用了系统非线性部分中的信息。所获得的稳定性条件不如某些现有条件稳定。使用新方法可以实现更长的采样周期。给出了数值示例,并在Chua的电路上进行了仿真。结果表明了该控制方法的优越性和有效性。

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