Adaptive extremum-seeking receding horizon control of nonlinear systems

被引：0
|
作者：
Adetola, V [1 ]
Dehaan, D [1 ]
Guay, M [1 ]
机构：
[1] Queens Univ, Dept Chem Engn, Kingston, ON K7L 3N6, Canada
来源：
PROCEEDINGS OF THE 2004 AMERICAN CONTROL CONFERENCE, VOLS 1-6 | 2004年
关键词：
D O I：
暂无
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 present a control algorithm that incorporates real time optimization and receding horizon control technique to solve an extremum seeking control problem for a class of nonlinear systems with parametric uncertainties. A Lyapunov-based technique is employed to develop a receding horizon controller that drives the system states to the desired unknown extremum points when it can be shown that a persistency of excitation condition is satisfied. A simulation example is provided to illustrate the effectiveness of the proposed method.
引用
收藏
页码：2937 / 2942
页数：6
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