引用本文:李晓理,王书宁.含有界扰动系统的多模型自适应控制[J].控制理论与应用,2003,20(4):577~581.[点击复制]
LI Xiao-li,WANG Shu-ning.Multi-model adaptive control of system with bounded disturbance[J].Control Theory and Technology,2003,20(4):577~581.[点击复制]
含有界扰动系统的多模型自适应控制
Multi-model adaptive control of system with bounded disturbance
摘要点击 2013  全文点击 1248  投稿时间:2001-10-29  修订日期:2002-04-22
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DOI编号  10.7641/j.issn.1000-8152.2003.4.020
  2003,20(4):577-581
中文关键词  有界扰动  多模型  自适应控制
英文关键词  bounded disturbance  multiple models  adaptive control
基金项目  国家自然科学基金(69974023, 69934010); 清华大学信息学院基础创新研究基金.
作者单位E-mail
李晓理 清华大学 自动化系系统工程所, 北京 100084 lixi-aoli@mail.au.tsinghua.edu.cn 
王书宁 清华大学 自动化系系统工程所, 北京 100084  
中文摘要
      对含有有界扰动和参数不确定性的离散时间被控对象建立多个辨识模型, 覆盖被控对象的参数不确定性. 给定指标切换函数, 构成多模型自适应控制器. 引入“局部化”技术, 在保持计算精度的同时, 提高了计算速度. 同时证明, 多模型自适应控制可以保证闭环系统输入输出稳定, 且保证对给定有界参考输入、被控对象输出可在一给定界范围内跟踪参考输入.
英文摘要
      Multiple models were set up to cover the parameter uncertainty of a discrete time system with bounded disturbance and uncertain parameters. And the multi-model adaptive control was formed by using a given switching index function. The "localization" method was used to speed up the computation of multi-model adaptive control, and the accuracy was not lost. It was proved the closed-loop system is input and output stable (BIBO), and the output of system could track any bounded reference input with bounded error.