中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页 机构 成果 学者
  
  1. CAS IR Grid
  2. 自动化研究所
  3. 中国科学院自动化研究所
  4. 多模态人工智能系统全国重点实验室
Robust Optimal Parallel Tracking Control Based on Adaptive Dynamic Programming

文献类型：期刊论文

作者Wei, Qinglai4,5,6; Jiao, Shanshan4,5,6; Wang, Fei-Yue2,3,6; Dong, Qi1
刊名IEEE TRANSACTIONS ON CYBERNETICS
出版日期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
DOI10.1109/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.
WOS关键词UNKNOWN NONLINEAR-SYSTEMS ; DESIGN
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研究方向Automation & Control Systems ; Computer Science
语种英语
WOS记录号WOS:001088281500001
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 ; National Defense Basic Scientific Research Program ; Science and Technology Development Fund, Macau, SAR
源URL[http://ir.ia.ac.cn/handle/173211/54412]  
专题多模态人工智能系统全国重点实验室
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.

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。