Adaptive and Optimal Output Feedback Control of Linear Systems: An Adaptive Dynamic Programming Approach

被引：0

作者：

Gao, Weinan ^{[1
]}

Jiang, Yu ^{[1
]}

Jiang, Zhong-Ping ^{[1
]}

Chai, Tianyou ^{[2
]}

机构：

[1] NYU, Dept Elect & Comp Engn, Polytech Sch Engn, Brooklyn, NY 11201 USA

[2] Northeastern Univ, State Key Lab Synthet Automat Proc Ind, Shenyang, Liaoning Provin, Peoples R China

来源：

2014 11TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA) | 2014年

基金：

美国国家科学基金会;

关键词：

Approximate/adaptive dynamic programming(ADP); output feedback; sampled-data systems; optimal control;

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 proposes a computational adaptive optimal output feedback control method for continuous-time linear systems. By periodic sampling, we use measurable input/output data to reconstruct the unmeasurable state, and then utilize adaptive dynamic programming (ADP) technique to iteratively solve the discrete-time algebraic Riccati equation. An exploration noise is introduced for online learning purpose without compromising accuracy of the proposed iterative algorithm. The stability and the optimality of the sampled-data system in close-loop with the proposed control policy are also analyzed. The feasibility of the output feedback ADP scheme is validated by simulation on a third-order linear system.

引用

页码：2085 / 2090

页数：6

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