【24h】

CHAOS CONTROL IN BONHOEFFER-VAN DER POL SYSTEM USING FUZZY ESTIMATION

机译:基于模糊估计的BONHOEFFER-VAN DER POL系统的混沌控制

获取原文
获取原文并翻译 | 示例

摘要

This paper illustrates the control of chaos using a fuzzy estimating system based on batch training and recursive least square methods for a continuous time dynamic system. The fuzzy estimator system is trained on both Ott-Geobogi-Yorke (OGY) control algorithm and Pyragas's delayed feedback control algorithm. The system, considered for this study, is a Bonhoeffer-van der Pol (BVP) oscillator. It is found that the implemented fuzzy control system constructed on OGY algorithm results in smaller control transient response than that of the OGY control algorithm itself. The transient response of Pyragas fuzzy control does not show a significant improvement in compare to the Pyragas control itself. In general the proposed control techniques show very effective low cost energy behavior in chaos control in compare to conventional nonlinear control methods.
机译:本文阐述了一种基于模糊估计系统的混沌控制方法,该系统基于批量训练和递推最小二乘方法,适用于连续时间动态系统。模糊估计器系统接受Ott-Geobogi-Yorke(OGY)控制算法和Pyragas的延迟反馈控制算法的训练。本研究考虑的系统是Bonhoeffer-van der Pol(BVP)振荡器。结果发现,与OGY控制算法本身相比,基于OGY算法构建的模糊控制系统具有较小的控制瞬态响应。与Pyragas控制本身相比,Pyragas模糊控制的瞬态响应没有显示出明显的改善。一般而言,与常规的非线性控制方法相比,所提出的控制技术在混沌控制中显示出非常有效的低成本能量行为。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号