典型文献
Learning-based adaptive optimal output regulation of linear and nonlinear systems:an overview
文献摘要：
This paper reviews recent developments in learning-based adaptive optimal output regulation that aims to solve the problem of adaptive and optimal asymptotic tracking with disturbance rejection. The proposed framework aims to bring together two separate topics— output regulation and adaptive dynamic programming— that have been under extensive investigation due to their broad applications in modern control engineering. Under this framework, one can solve optimal output regulation problems of linear, partially linear, nonlinear, and multi-agent systems in a data-driven manner. We will also review some practical applications based on this framework, such as semi-autonomous vehicles, connected and autonomous vehicles, and nonlinear oscillators.
文献关键词：
中图分类号：
作者姓名：
Weinan Gao;Zhong-Ping Jiang
作者机构：
Department of Mechanical and Civil Engineering,College of Engineering and Science Florida Institute of Technology,150 W.University Blvd.,Melbourne,FL 32901,USA;Department of Electrical and Computer Engineering,Tandon School of Engineering,New York University,Six MetroTech Center,Brooklyn,NY 11201,USA
文献出处：
引用格式：
[1]Weinan Gao;Zhong-Ping Jiang-.Learning-based adaptive optimal output regulation of linear and nonlinear systems:an overview)[J].控制理论与技术（英文版）,2022(01):1-19
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B类：
Learning,adaptive,optimal,output,regulation,nonlinear,systems,overview,This,paper,reviews,recent,developments,learning,that,aims,solve,asymptotic,tracking,disturbance,rejection,proposed,framework,bring,together,two,separate,topics,dynamic,programming,have,been,under,extensive,investigation,due,their,broad,applications,modern,control,engineering,Under,this,one,can,problems,partially,multi,agent,data,driven,manner,We,will,also,some,practical,such,semi,autonomous,vehicles,connected,oscillators
AB值：
0.613091
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