Knowledge Commons of Institute of Automation,CAS
Data-Driven Finite-Horizon Approximate Optimal Control for Discrete-Time Nonlinear Systems Using Iterative HDP Approach | |
Mu, Chaoxu1; Wang, Ding2![]() | |
发表期刊 | IEEE TRANSACTIONS ON CYBERNETICS
![]() |
ISSN | 2168-2267 |
2018-10-01 | |
卷号 | 48期号:10页码:2948-2961 |
文章类型 | Article |
摘要 | This paper presents a data-based finite-horizon optimal control approach for discrete-time nonlinear affine systems. The iterative adaptive dynamic programming (ADP) is used to approximately solve Hamilton-Jacobi-Bellman equation by minimizing the cost function in finite time. The idea is implemented with the heuristic dynamic programming (HDP) involved the model network, which makes the iterative control at the first step can be obtained without the system function, meanwhile the action network is used to obtain the approximate optimal control law and the critic network is utilized for approximating the optimal cost function. The convergence of the iterative ADP algorithm and the stability of the weight estimation errors based on the HDP structure are intensively analyzed. Finally, two simulation examples are provided to demonstrate the theoretical results and show the performance of the proposed method. |
关键词 | Adaptive Dynamic Programming (Adp) Data-driven Control Finite-horizon Optimal Control Heuristic Dynamic Programming (Hdp) Learning Control Neural Networks |
WOS标题词 | Science & Technology ; Technology |
DOI | 10.1109/TCYB.2017.2752845 |
关键词[WOS] | ADAPTIVE CRITIC DESIGNS ; ONLINE LEARNING CONTROL ; STATE-FEEDBACK CONTROL ; H-INFINITY CONTROL ; TRACKING CONTROL ; REINFORCEMENT ; ARCHITECTURE ; ALGORITHM ; NETWORKS |
收录类别 | SCI |
语种 | 英语 |
项目资助者 | National Natural Science Foundation of China(51529701 ; U.S. National Science Foundation(ECCS 1053717 ; Beijing Natural Science Foundation(4162065) ; 61773373 ; CMMI 1526835) ; 61773284) |
WOS研究方向 | Automation & Control Systems ; Computer Science |
WOS类目 | Automation & Control Systems ; Computer Science, Artificial Intelligence ; Computer Science, Cybernetics |
WOS记录号 | WOS:000444827200015 |
出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/27911 |
专题 | 多模态人工智能系统全国重点实验室_复杂系统智能机理与平行控制团队 |
通讯作者 | He, Haibo |
作者单位 | 1.Tianjin Univ, Sch Elect & Informat Engn, Tianjin 300072, Peoples R China 2.Chinese Acad Sci, State Key Lab Management & Control Complex Syst, Inst Automat, Beijing 100190, Peoples R China 3.Univ Rhode Isl, Dept Elect Comp & Biomed Engn, Kingston, RI 02881 USA |
推荐引用方式 GB/T 7714 | Mu, Chaoxu,Wang, Ding,He, Haibo. Data-Driven Finite-Horizon Approximate Optimal Control for Discrete-Time Nonlinear Systems Using Iterative HDP Approach[J]. IEEE TRANSACTIONS ON CYBERNETICS,2018,48(10):2948-2961. |
APA | Mu, Chaoxu,Wang, Ding,&He, Haibo.(2018).Data-Driven Finite-Horizon Approximate Optimal Control for Discrete-Time Nonlinear Systems Using Iterative HDP Approach.IEEE TRANSACTIONS ON CYBERNETICS,48(10),2948-2961. |
MLA | Mu, Chaoxu,et al."Data-Driven Finite-Horizon Approximate Optimal Control for Discrete-Time Nonlinear Systems Using Iterative HDP Approach".IEEE TRANSACTIONS ON CYBERNETICS 48.10(2018):2948-2961. |
条目包含的文件 | 条目无相关文件。 |
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。
修改评论