Approximate optimal trajectory tracking for continuous-time nonlinear systems

被引：164

作者：

Kamalapurkar, Rushikesh ^{[1
]}

Dinh, Huyen ^{[2
]}

Bhasin, Shubhendu ^{[3
]}

Dixon, Warren E. ^{[1
]}

机构：

[1] Univ Florida, Dept Mech & Aerosp Engn, Gainesville, FL 32611 USA

[2] Univ Transport & Commun, Dept Mech Engn, Hanoi, Vietnam

[3] Indian Inst Technol, Dept Elect Engn, Delhi, India

来源：

AUTOMATICA | 2015年 / 51卷

基金：

美国国家科学基金会;

关键词：

Time-varying systems; Optimal control; Adaptive control; Tracking applications; Actor-critic;

D O I：

10.1016/j.automatica.2014.10.103

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Adaptive dynamic programming has been investigated and used as a method to approximately solve optimal regulation problems. However, the extension of this technique to optimal tracking problems for continuous-time nonlinear systems has remained a non-trivial open problem. The control development in this paper guarantees ultimately bounded tracking of a desired trajectory, while also ensuring that the enacted controller approximates the optimal controller.(C) 2014 Elsevier Ltd. All rights reserved.

引用

页码：40 / 48

页数：9

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