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H∞ tracking-based decentralized hybrid adaptive output feedback fuzzy control for a class of large-scale nonlinear systems

机译：一类大型非线性系统基于H∞跟踪的分散混合自适应输出反馈模糊控制

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摘要

This paper proposes a novel W∞ tracking-based decentralized hybrid adaptive fuzzy controller via output feedback for a class of large-scale uncertain nonlinear systems. To achieve better adaptation properties, the proposed controller is a weighted combination of indirect and direct adaptive fuzzy controls (IAFC and DAFC) such that both fuzzy descriptions and control rules can be incorporated at the same time. After proper filtering of the observation error dynamics, the developed observer-based feedback and adaptation mechanisms become implementable indeed. By using fuzzy inference systems, a state observer and H∞ tracking technique, the decentralized combined indirect and direct adaptive fuzzy control algorithm is developed based upon a united W∞ tracking controller design for the modification of the previous work of Huang et al. The resultant closed-loop systems are guaranteed to be stable and a good W∞ tracking performance is obtained. Simulation results of interrelated inverted pendulums substantiate that the proposed CAFC system stands out as being better properties than typical IAFC and DAFC systems in that the tracking performance is much better while the control effort is even smaller.
机译：针对一类大型不确定非线性系统，提出了一种基于输出反馈的基于W∞跟踪的分散混合自适应模糊控制器。为了获得更好的自适应性能，所提出的控制器是间接和直接自适应模糊控制（IAFC和DAFC）的加权组合，因此可以同时包含模糊描述和控制规则。在对观察误差动态进行适当过滤之后，开发的基于观察者的反馈和适应机制的确可以实现。通过使用模糊推理系统，状态观测器和H∞跟踪技术，基于统一的W∞跟踪控制器设计，开发了分散的间接和直接组合自适应模糊控制算法，以修改Huang等人的先前工作。保证所得的闭环系统稳定，并获得良好的W∞跟踪性能。相互关联的倒立摆的仿真结果证明，与典型的IAFC和DAFC系统相比，所提出的CAFC系统具有更好的性能，因为跟踪性能要好得多，而控制工作量甚至更小。

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  • 来源
    《Fuzzy sets and systems》 |2011年第1期|p.72-92|共21页
  • 作者

    Yi-Shao Huang; Dong-Sheng Xiao; Xiao-Xin Chen; Qi-Xin Zhu; Zheng-Wu Wang;

  • 作者单位

    Key Laboratory of Highway Engineering (Changsha University of Science & Technology), Ministry of Education, Changsha 410114, P. R. China,School of Traffic and Transportation Engineering, changsha University of Science and Technology, Changsha 410114, P. R. China;

    College of Economics and Management, University of South China, Hengyang 421001, P. R. China;

    School of Information Technology, Jiangxi University of Finance and Economics, Nanchang 330013, P. R. China;

    School of Electrical and Electronic Engineering, East China Jiaotong University, Nanchang 330013, P. R. China;

    School of Traffic and Transportation Engineering, changsha University of Science and Technology, Changsha 410114, P. R. China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Large-scale nonlinear system; Combined adaptive fuzzy control (CAFC); Observer; Decentralized control; Fuzzy inference systems; H∞ tracking performance;

    机译：大型非线性系统;组合自适应模糊控制（CAFC）;观察员分散控制;模糊推理系统;H∞跟踪性能;

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