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Data-Based Adaptive Critic Designs for Nonlinear Robust Optimal Control With Uncertain Dynamics
Wang, Ding1; Liu, Derong2; Zhang, Qichao1; Zhao, Dongbin1
Source PublicationIEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
2016-11-01
Volume46Issue:11Pages:1544-1555
SubtypeArticle
AbstractIn this paper, the infinite-horizon robust optimal control problem for a class of continuous-time uncertain non-linear systems is investigated by using data-based adaptive critic designs. The neural network identification scheme is combined with the traditional adaptive critic technique, in order to design the nonlinear robust optimal control under uncertain environment. First, the robust optimal controller of the original uncertain system with a specified cost function is established by adding a feedback gain to the optimal controller of the nominal system. Then, a neural network identifier is employed to reconstruct the unknown dynamics of the nominal system with stability analysis. Hence, the data-based adaptive critic designs can be developed to solve the Hamilton-Jacobi-Bellman equation corresponding to the transformed optimal control problem. The uniform ultimate boundedness of the closed-loop system is also proved by using the Lyapunov approach. Finally, two simulation examples are presented to illustrate the effectiveness of the developed control strategy.
KeywordAdaptive Critic Designs Adaptive Dynamic Programming Intelligent Control Neural Networks Policy Iteration Robust Optimal Control System Identification Uncertain Nonlinear Systems
WOS HeadingsScience & Technology ; Technology
DOI10.1109/TSMC.2015.2492941
WOS KeywordONLINE OPTIMAL-CONTROL ; DISCRETE-TIME-SYSTEMS ; POLICY ITERATION ; DECENTRALIZED STABILIZATION ; INPUT CONSTRAINTS ; UNKNOWN DYNAMICS ; HJB SOLUTION ; ALGORITHM
Indexed BySCI
Language英语
Funding OrganizationNational Natural Science Foundation of China(61233001 ; State Key Laboratory of Management and Control for Complex Systems ; 61273136 ; 61273140 ; 61304086 ; 61374105 ; 61533017 ; 61573353)
WOS Research AreaAutomation & Control Systems ; Computer Science
WOS SubjectAutomation & Control Systems ; Computer Science, Cybernetics
WOS IDWOS:000386225800006
Citation statistics
Cited Times:73[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/13326
Collection复杂系统管理与控制国家重点实验室_深度强化学习
Affiliation1.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
2.Univ Sci & Technol Beijing, Sch Automat & Elect Engn, Beijing 100083, Peoples R China
Recommended Citation
GB/T 7714
Wang, Ding,Liu, Derong,Zhang, Qichao,et al. Data-Based Adaptive Critic Designs for Nonlinear Robust Optimal Control With Uncertain Dynamics[J]. IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS,2016,46(11):1544-1555.
APA Wang, Ding,Liu, Derong,Zhang, Qichao,&Zhao, Dongbin.(2016).Data-Based Adaptive Critic Designs for Nonlinear Robust Optimal Control With Uncertain Dynamics.IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS,46(11),1544-1555.
MLA Wang, Ding,et al."Data-Based Adaptive Critic Designs for Nonlinear Robust Optimal Control With Uncertain Dynamics".IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS 46.11(2016):1544-1555.
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