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Control of discrete chaotic systems based on echo state network modeling with an adaptive noise canceler

机译：基于带有自适应噪声消除器的回波状态网络建模的离散混沌系统控制

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摘要

In this paper, we present a new method based on echo state network (ESN) to control discrete chaotic systems. ESN could achieve very high precision in chaotic time series prediction and overcome most issues encountered in using traditional artificial neural networks, especially local minima and overfitting. In order to achieve good control effect when there is noise in chaotic systems, an adaptive noise canceler is introduced to eliminate the effect of the noise and perturbation. The support vector machine (SVM) is adopted to identify inverse model of the controlled plant as the adaptive noise canceler. Simulation results show that the proposed method could achieve very good control effect, possess a good stability and completely reduce the adverse effect.
机译：在本文中，我们提出了一种基于回波状态网络（ESN）的控制离散混沌系统的新方法。 ESN可以在混沌时间序列预测中达到很高的精度，并克服了使用传统人工神经网络时遇到的大多数问题，尤其是局部极小值和过度拟合。为了在混沌系统中存在噪声时达到良好的控制效果，引入了自适应噪声消除器以消除噪声和扰动的影响。采用支持向量机（SVM）识别受控设备的逆模型作为自适应噪声消除器。仿真结果表明，所提出的方法可以达到很好的控制效果，具有良好的稳定性，可以完全减少不利影响。

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  • 来源
    《Knowledge-Based Systems》 |2012年第2012期|p.35-40|共6页
  • 作者

    Guoqiang Li; Peifeng Niu; Weiping Zhang; Yang Zhang;

  • 作者单位

    Key Lab of Industrial Computer Control Engineering of Hebei Province, Yanshan University, Qinhuangdao 066004, China,National Engineering Research Center for Equipment and Technology of Cold Strip Rolling, Qinhuangdao 066004, China;

    Key Lab of Industrial Computer Control Engineering of Hebei Province, Yanshan University, Qinhuangdao 066004, China,National Engineering Research Center for Equipment and Technology of Cold Strip Rolling, Qinhuangdao 066004, China;

    Key Lab of Industrial Computer Control Engineering of Hebei Province, Yanshan University, Qinhuangdao 066004, China,Qinhuangdao Institute of Technology, Qinhuangdao 066100, China;

    Key Lab of Industrial Computer Control Engineering of Hebei Province, Yanshan University, Qinhuangdao 066004, China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    echo state network; adaptive noise canceler; support vector machine; chaotic systems; control;

    机译：回声状态网络;自适应噪声消除器;支持向量机混沌系统控制;

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