Parameter convergence and minimal internal model with an adaptive output regulation problem

被引:105
作者
Liu, Lu [1 ]
Chen, Zhiyong [2 ]
Huang, Jie [1 ]
机构
[1] Chinese Univ Hong Kong, Dept Mech & Automat Engn, Shatin, Hong Kong, Peoples R China
[2] Univ Newcastle, Sch Elect Engn & Comp Sci, Callaghan, NSW 2308, Australia
关键词
Adaptive control; Output regulation; Nonlinear systems; NONLINEAR-SYSTEMS;
D O I
10.1016/j.automatica.2009.01.003
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The parameter convergence of nonlinear adaptive control systems is an important yet not well addressed issue. In this paper, using the global robust output regulation problem of output feedback systems with unknown exosystems as a platform, we will show that the well known persistency of excitation (PE) condition still guarantees the convergence of the estimated parameter vector to the true parameter vector. Moreover, the PE condition will be satisfied if the internal model is minimal in certain sense. (C) 2009 Elsevier Ltd. All rights reserved.
引用
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页码:1306 / 1311
页数:6
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