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含有界扰动系统的多模型自适应控制
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.
作者姓名:李晓理  王书宁
作者单位:清华大学,自动化系,系统工程所,北京,100084
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.
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.

关 键 词:有界扰动    多模型    自适应控制
文章编号:1000-8152(2003)04-0577-05
收稿时间:2001/10/29 0:00:00
修稿时间:2001年10月29

Multi-model adaptive control of system with bounded disturbance
LI Xiao-li and WANG Shu-ning.Multi-model adaptive control of system with bounded disturbance[J].Control Theory & Applications,2003,20(4):577-581.
Authors:LI Xiao-li and WANG Shu-ning
Affiliation:Department of Automation, Institute of Systems Engineering, Tsinghua University, Beijing 100084, China;Department of Automation, Institute of Systems Engineering, Tsinghua University, Beijing 100084, China
Abstract: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.
Keywords:bounded disturbance  multiple models  adaptive control
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