Lyapunov-based backward-horizon adaptive stabilization

被引：17
|
作者：
Venugopal, R
Rao, VG
Bernstein, DS
机构：
[1] Sysendes Inc, Montreal, PQ H3H 1N4, Canada
[2] Univ Michigan, Dept Aerosp Engn, Ann Arbor, MI 48109 USA
来源：
INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING | 2003年 / 17卷 / 01期
关键词：
discrete time; adaptive control; Lyapunov methods;
D O I：
10.1002/acs.733
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper we develop a discrete-time adaptive stabilization algorithm based on a one-step backward-horizon cost criterion. By optimizing the cost with respect to the update step size. We obtain a gain update law that guarantees convergence of the plant states. The convergence proof is based on a modified Lyapunov technique. We extend the algorithm to include integral control for rejecting constant disturbances and We present an experimental application to DC motor positioning system. Copyright (C) 2003 John Wiley Sons, Ltd.
引用
收藏
页码：67 / 84
页数：18
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