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Adaptive-Critic-Based Robust Trajectory Tracking of Uncertain Dynamics and Its Application to a Spring-Mass-Damper System
Wang, Ding; Mu, Chaoxu1,2,3,4
刊名IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
2018
卷号65期号:1页码:654-663
关键词Adaptive critic design neural networks optimal control robust trajectory tracking self-learning control system uncertainty
ISSN号0278-0046
DOI10.1109/TIE.2017.2722424
通讯作者Mu, Chaoxu(cxmu@tju.edu.cn)
英文摘要In this paper, the robust trajectory tracking design of uncertain nonlinear systems is investigated by virtue of a self-learning optimal control formulation. The primary novelty lies in that an effective learning based robust tracking control strategy is developed for nonlinear systems under a general uncertain environment. The augmented system construction is performed by combining the tracking error with the reference trajectory. Then, an improved adaptive critic technique, which does not depend on the initial stabilizing controller, is employed to solve the Hamilton-Jacobi-Bellman (HJB) equation with respect to the nominal augmented system. Using the obtained control law, the closed-loop form of the augmented system is built with stability proof. Moreover, the robust trajectory tracking performance is guaranteed via Lyapunov approach in theory and then through simulation demonstration, where an application to a practical spring-mass-damper system is included.
资助项目Beijing Natural Science Foundation[4162065] ; National Natural Science Foundation of China[U1501251] ; Tianjin Natural Science Foundation[14JCQNJC05400] ; State Key Laboratory of Management and Control for Complex Systems[20170105] ; China Postdoctoral Science Foundation[2014M561559] ; SKLMCCS
WOS关键词NONLINEAR-SYSTEMS ; DESIGN
WOS研究方向Automation & Control Systems ; Engineering ; Instruments & Instrumentation
语种英语
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号WOS:000416221000065
资助机构Beijing Natural Science Foundation ; National Natural Science Foundation of China ; Tianjin Natural Science Foundation ; State Key Laboratory of Management and Control for Complex Systems ; China Postdoctoral Science Foundation ; SKLMCCS
内容类型期刊论文
源URL[http://ir.ia.ac.cn/handle/173211/28217]  
专题中国科学院自动化研究所
通讯作者Mu, Chaoxu
作者单位1.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
2.Tianjin Univ, Sch Elect & Informat Engn, Tianjin 300072, Peoples R China
3.Univ Chinese Acad Sci, Sch Comp & Control Engn, Beijing 100049, Peoples R China
4.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714
Wang, Ding,Mu, Chaoxu. Adaptive-Critic-Based Robust Trajectory Tracking of Uncertain Dynamics and Its Application to a Spring-Mass-Damper System[J]. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS,2018,65(1):654-663.
APA Wang, Ding,&Mu, Chaoxu.(2018).Adaptive-Critic-Based Robust Trajectory Tracking of Uncertain Dynamics and Its Application to a Spring-Mass-Damper System.IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS,65(1),654-663.
MLA Wang, Ding,et al."Adaptive-Critic-Based Robust Trajectory Tracking of Uncertain Dynamics and Its Application to a Spring-Mass-Damper System".IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS 65.1(2018):654-663.
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