Extremum-seeking control of state-constrained nonlinear systems

被引：157

作者：

DeHaan, D ^{[1
]}

Guay, M ^{[1
]}

机构：

[1] Queens Univ, Dept Chem Engn, Kingston, ON K7L 3N6, Canada

来源：

AUTOMATICA | 2005年 / 41卷 / 09期

基金：

加拿大自然科学与工程研究理事会;

关键词：

extremum seeking; adaptive control; nonlinear control systems; real-time optimization; constraints;

D O I：

10.1016/j.automatica.2005.03.030

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

An extremum-seeking control problem is posed for a class of nonlinear systems with unknown dynamical parameters, whose states are subject to convex, pointwise inequality constraints. Using a barrier function approach, an adaptive method is proposed for generating setpoints online which converge to the feasible minimizer of a convex objective function containing the unknown dynamic parameters. A tracking controller regulates system states to the generated setpoint via state feedback, while maintaining feasibility of the state constraints. A simulation example demonstrates application of the method. (c) 2005 Elsevier Ltd. All rights reserved.

引用

页码：1567 / 1574

页数：8

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