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Robust fuzzy control for chaotic dynamics in Lorenz systems with uncertainties

机译:具有不确定性的Lorenz系统混沌动力学的鲁棒模糊控制

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摘要

This paper deals with the robust fuzzy control for chaotic systems in the presence of parametric uncertainties. An uncertain Takagi-Sugeno fuzzy model for a Lorenz chaotic system is first constructed. Then a robust fuzzy state feedback control scheme ensures the control for stable operations under bounded parametric uncertainties. For a chaotic system with known uncertainty bounds, a robust fuzzy regulator is designed by choosing the control parameters satisfying the linear matrix inequality. To verify the validity and effectiveness of the proposed controller design method, an analysis technique is suggested and applied to the control of an uncertain Lorenz chaotic system.
机译:本文研究了存在参数不确定性的混沌系统的鲁棒模糊控制。首先建立了Lorenz混沌系统的不确定Takagi-Sugeno模糊模型。然后,鲁棒的模糊状态反馈控制方案可确保在有界参数不确定性下控制稳定运行。对于具有不确定边界的混沌系统,通过选择满足线性矩阵不等式的控制参数来设计鲁棒模糊调节器。为了验证所提出的控制器设计方法的有效性和有效性,提出了一种分析技术并将其应用于不确定的Lorenz混沌系统的控制。

著录项

  • 来源
    《中国物理:英文版》 |2006年第1期|89-94|共6页
  • 作者

    Wang Yao-Nan; Tan Wen; Duan Feng;

  • 作者单位

    College of Electrical and Information Engineering,Hunan University,Changsha 410082,China;

    College of Electrical and Information Engineering,Hunan University,Changsha 410082,China;

    School of Information and Electrical Engineering,Hunan University of Science and Technology,Xiangtan 411201,China;

    College of Electrical and Information Engineering,Hunan University,Changsha 410082,China;

  • 收录信息 中国科学引文数据库(CSCD);
  • 原文格式 PDF
  • 正文语种 chi
  • 中图分类 物理学;
  • 关键词

    chaos; Takagi-Sugeno fuzzy model; robust control; linear matrix inequality;

    机译:混沌;Takagi-Sugeno模糊模型;鲁棒控制;线性矩阵不等式;
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