南方科技大学知识苑(SUSTech KC): Optimal Learning Output Tracking Control: A Model-Free Policy Optimization Method With Convergence Analysis

题名	Optimal Learning Output Tracking Control: A Model-Free Policy Optimization Method With Convergence Analysis
作者	Mingduo Lin 1; Bo Zhao 1; Derong Liu2
发表日期	2024
DOI	10.1109/TNNLS.2024.3379207
发表期刊	IEEE Transactions on Neural Networks and Learning Systems 影响因子和分区
ISSN	2162-2388
卷号	PP 期号:99页码:1-12
关键词	Adaptive dynamic programming (ADP) data-based control optimal control output tracking control policy optimization (PO) reinforcement learning (RL)
相关链接	[IEEE记录]
收录类别	SCI ; EI
学校署名	其他
来源库	IEEE
全文链接	https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10479208
引用统计
成果类型	期刊论文
条目标识符	http://sustech.caswiz.com/handle/2SGJ60CL/760896
专题	工学院_系统设计与智能制造学院
作者单位	1.School of Systems Science, Beijing Normal University, Beijing, China 2.School of System Design and Intelligent Manufacturing, Southern University of Science and Technology, Shenzhen, China
推荐引用方式 GB/T 7714	Mingduo Lin,Bo Zhao,Derong Liu. Optimal Learning Output Tracking Control: A Model-Free Policy Optimization Method With Convergence Analysis[J]. IEEE Transactions on Neural Networks and Learning Systems,2024,PP(99):1-12.
APA	Mingduo Lin,Bo Zhao,&Derong Liu.(2024).Optimal Learning Output Tracking Control: A Model-Free Policy Optimization Method With Convergence Analysis.IEEE Transactions on Neural Networks and Learning Systems,PP(99),1-12.
MLA	Mingduo Lin,et al."Optimal Learning Output Tracking Control: A Model-Free Policy Optimization Method With Convergence Analysis".IEEE Transactions on Neural Networks and Learning Systems PP.99(2024):1-12.