Adaptive optimal output regulation via output-feedback: An adaptive dynamic programing approach

被引：0
|
作者：
Gao, Weinan [1 ]
Jiang, Zhong-Ping [1 ]
机构：
[1] NYU, Tandon Sch Engn, Dept Elect & Comp Engn, Brooklyn, NY 11201 USA
来源：
2016 IEEE 55TH CONFERENCE ON DECISION AND CONTROL (CDC) | 2016年
基金：
美国国家科学基金会;
关键词：
NONLINEAR-SYSTEMS; LINEAR-SYSTEMS; TRACKING CONTROL; TIME-SYSTEMS;
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：
This paper studies the problem of adaptive optimal output regulation for discrete-time linear systems. A data-driven output-feedback control approach is developed via approximate/adaptive dynamic programming (ADP). Different from the existing literature of ADP and output regulation theory, the optimal controller design proposed in this paper does not require the knowledge of the plant and exosystem dynamics. Theoretical analysis and an application on an inverted pendulum system show that the proposed methodology serves as an effective tool for solving adaptive optimal output regulation problems.
引用
收藏
页码：5845 / 5850
页数：6
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