Robust Optimal Parallel Tracking Control Based on Adaptive Dynamic Programming

doi:10.1109/TCYB.2023.3312543

CORC > 自动化研究所 > 中国科学院自动化研究所 > 复杂系统管理与控制国家重点实验室 > 智能化团队

	Robust Optimal Parallel Tracking Control Based on Adaptive Dynamic Programming
	Wei, Qinglai 4,5,6; Jiao, Shanshan 4,5,6; Wang, Fei-Yue 2,3,6; Dong, Qi 1
刊名	IEEE TRANSACTIONS ON CYBERNETICS
	2023-10-09
页码	14
关键词	Optimal control Control systems Uncertainty Robust control Performance analysis Dynamic programming Uncertain systems ADP NN nonlinear robust optimal control parallel control tracking control
ISSN号	2168-2267
DOI	10.1109/TCYB.2023.3312543
通讯作者	Wei, Qinglai(qlwei@must.edu.mo)
英文摘要	This article focuses on a novel robust optimal parallel tracking control method for continuous-time (CT) nonlinear systems subject to uncertainties. First, the designed virtual controller facilitates the transformation of the original nonlinear system into an affine system with an augmented state vector, which promotes the introduction of the optimal parallel tracking control problem. Then, this article generates fresh insight into counteracting the effects of uncertainty by developing a novel parallel control system that invokes the formulated virtual control law and an auxiliary variable obtained from the relationship between the solutions of the optimal control problems for the uncertain system and the nominal one. Next, critic neural networks (NNs) approximate the Hamilton-Jacobi-Bellman (HJB) equations' solution to implement the proposed robust optimal control method via adaptive dynamic programming (ADP). Finally, simulation experiments demonstrate the proposed method's remarkable effectiveness.
资助项目	National Key Research and Development Program of China[021YFE0206100] ; National Natural Science Foundation of China[62073321] ; National Defense Basic Scientific Research Program[JCKY2019203C029] ; Science and Technology Development Fund, Macau, SAR[FDCT-22-009-MISE] ; Science and Technology Development Fund, Macau, SAR[0060/2021/A2] ; Science and Technology Development Fund, Macau, SAR[0015/2020/AMJ]
WOS关键词	UNKNOWN NONLINEAR-SYSTEMS ; DESIGN
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:001088281500001
资助机构	National Key Research and Development Program of China ; National Natural Science Foundation of China ; National Defense Basic Scientific Research Program ; Science and Technology Development Fund, Macau, SAR
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/54412]
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	Wei, Qinglai
作者单位	1.China Acad Elect & Informat Technol, Grp Elect & Informat, Beijing 100049, Peoples R China 2.Qingdao Acad Intelligent Ind, Parallel Intelligence Innovat Ctr, Qingdao 266109, 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, Sch Artificial Intelligence, Beijing 100049, Peoples R China 5.Chinese Acad Sci, Inst Automat, State Key Lab Multimodal Artificial Intelligence, Beijing 100190, Peoples R China 6.Macau Univ Sci & Technol, Inst Syst Engn, Macau, Peoples R China
推荐引用方式 GB/T 7714	Wei, Qinglai,Jiao, Shanshan,Wang, Fei-Yue,et al. Robust Optimal Parallel Tracking Control Based on Adaptive Dynamic Programming[J]. IEEE TRANSACTIONS ON CYBERNETICS,2023:14.
APA	Wei, Qinglai,Jiao, Shanshan,Wang, Fei-Yue,&Dong, Qi.(2023).Robust Optimal Parallel Tracking Control Based on Adaptive Dynamic Programming.IEEE TRANSACTIONS ON CYBERNETICS,14.
MLA	Wei, Qinglai,et al."Robust Optimal Parallel Tracking Control Based on Adaptive Dynamic Programming".IEEE TRANSACTIONS ON CYBERNETICS (2023):14.