Adaptive extremum seeking control of nonlinear dynamic systems with parametric uncertainties

被引：186
|
作者：
Guay, M [1 ]
Zhang, T
机构：
[1] Queens Univ, Dept Chem Engn, Kingston, ON K7L 3N6, Canada
[2] Seagate Technol, Shakopee, MN 55379 USA
来源：
AUTOMATICA | 2003年 / 39卷 / 07期
关键词：
nonlinear systems; extremum seeking; inverse optimality; Lyapunov function; adaptive control;
D O I：
10.1016/S0005-1098(03)00105-5
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
We pose and solve an extremum seeking control problem for a class of nonlinear systems with unknown parameters. Extremum seeking controllers are developed to drive system states to the desired set-points that extremize the value of an objective function. The proposed adaptive extremum seeking controller is "inverse optimal" in the sense that it minimizes a meaningful cost function that incorporates penalty on both the performance error and control action. Simulation studies are provided to verify the effectiveness, of the proposed approach. (C) 2003 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码：1283 / 1293
页数：11
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