中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Adaptive Dynamic Programming for Control: A Survey and Recent Advances

文献类型:期刊论文

作者Liu, Derong5; Xue, Shan6; Zhao, Bo7; Luo, Biao1,2; Wei, Qinglai3,4
刊名IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
出版日期2021
卷号51期号:1页码:142-160
ISSN号2168-2216
关键词Adaptive critic designs (ACDs) adaptive dynamic programming approximate dynamic programming intelligent control learning control neural dynamic programming neuro-dynamic programming optimal control reinforcement learning (RL)
DOI10.1109/TSMC.2020.3042876
通讯作者Liu, Derong(derong@gdut.edu.cn)
英文摘要This article reviews the recent development of adaptive dynamic programming (ADP) with applications in control. First, its applications in optimal regulation are introduced, and some skilled and efficient algorithms are presented. Next, the use of ADP to solve game problems, mainly nonzero-sum game problems, is elaborated. It is followed by applications in large-scale systems. Note that although the functions presented in this article are based on continuous-time systems, various applications of ADP in discrete-time systems are also analyzed. Moreover, in each section, not only some existing techniques are discussed, but also possible directions for future work are pointed out. Finally, some overall prospects for the future are given, followed by conclusions of this article. Through a comprehensive and complete investigation of its applications in many existing fields, this article fully demonstrates that the ADP intelligent control method is promising in today's artificial intelligence era. Furthermore, it also plays a significant role in promoting economic and social development.
资助项目National Key Research and Development Program of China[2018AAA0100203] ; National Natural Science Foundation of China[62073085] ; Guangdong Introducing Innovative and Enterpreneurial Teams of The Pearl River Talent Recruitment Program[2019ZT08X340]
WOS研究方向Automation & Control Systems ; Computer Science
语种英语
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号WOS:000607806700010
资助机构National Key Research and Development Program of China ; National Natural Science Foundation of China ; Guangdong Introducing Innovative and Enterpreneurial Teams of The Pearl River Talent Recruitment Program
源URL[http://ir.ia.ac.cn/handle/173211/42903]  
专题自动化研究所_复杂系统管理与控制国家重点实验室_智能化团队
通讯作者Liu, Derong
作者单位1.Cent South Univ, Sch Automat, Changsha 410083, Peoples R China
2.Peng Cheng Lab, Shenzhen 518000, Peoples R China
3.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
4.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
5.Guangdong Univ Technol, Sch Automat, Guangzhou 510006, Peoples R China
6.South China Univ Technol, Sch Comp Sci & Engn, Guangzhou 510006, Peoples R China
7.Beijing Normal Univ, Sch Syst Sci, Beijing 100875, Peoples R China
推荐引用方式
GB/T 7714
Liu, Derong,Xue, Shan,Zhao, Bo,et al. Adaptive Dynamic Programming for Control: A Survey and Recent Advances[J]. IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS,2021,51(1):142-160.
APA Liu, Derong,Xue, Shan,Zhao, Bo,Luo, Biao,&Wei, Qinglai.(2021).Adaptive Dynamic Programming for Control: A Survey and Recent Advances.IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS,51(1),142-160.
MLA Liu, Derong,et al."Adaptive Dynamic Programming for Control: A Survey and Recent Advances".IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS 51.1(2021):142-160.

入库方式: OAI收割

来源:自动化研究所

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。