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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![]() ![]() ![]() |
刊名 | IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
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出版日期 | 2021 |
卷号 | 51期号:1页码:142-160 |
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) |
ISSN号 | 2168-2216 |
DOI | 10.1109/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 |
WOS记录号 | WOS:000607806700010 |
出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
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
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