Event-Driven Adaptive Robust Control of Nonlinear Systems With Uncertainties Through NDP Strategy
Wang, Ding1,2; Mu, Chaoxu2; He, Haibo3; Liu, Derong4
2017-07-01
发表期刊IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
卷号47期号:7页码:1358-1370
文章类型Article
摘要In this paper, we construct an event-driven adaptive robust control approach for continuous-time uncertain nonlinear systems through a neural dynamic programming (NDP) strategy. Through system transformation and theoretical analysis, the robustness of the original uncertain system can be achieved by designing an event-driven optimal controller with respect to the nominal system under a suitable triggering condition. In addition, it is also observed that the event-driven controller has a certain degree of gain margin. Then, the NDP technique is employed to perform the main controller design task, followed by the uniform ultimate boundedness stability proof with the feedback action of the event-driven adaptive control law. The comparative effect of the present control strategy is also illustrated via two simulation examples. The established method provides a new avenue of combining adaptive dynamic programming-based self-learning control, event-triggered adaptive control, and robust control, to investigate the nonlinear adaptive robust feedback design under uncertain environment.
关键词Adaptive Dynamic Programming (Adp) Adaptive Robust Control Critic Neural Network Event-driven Control Neural Dynamic Programming (Ndp) Uncertain Nonlinear Systems
WOS标题词Science & Technology ; Technology
DOI10.1109/TSMC.2016.2592682
关键词[WOS]H-INFINITY CONTROL ; CONTROL DESIGN ; POLICY ITERATION ; TIME-SYSTEMS ; REINFORCEMENT ; ALGORITHM
收录类别SCI
语种英语
项目资助者National Natural Science Foundation of China(61233001 ; Beijing Natural Science Foundation(4162065) ; Tianjin Natural Science Foundation(14JCQNJC05400) ; U.S. National Science Foundation(ECCS 1053717) ; Early Career Development Award of SKLMCCS ; Tianjin Key Laboratory of Process Measurement and Control(TKLPMC-201612) ; 61273140 ; 61304018 ; 61304086 ; 61533017 ; U1501251 ; 51529701 ; 61411130160 ; 61520106009)
WOS研究方向Automation & Control Systems ; Computer Science
WOS类目Automation & Control Systems ; Computer Science, Cybernetics
WOS记录号WOS:000404354600026
引用统计
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/15230
专题复杂系统管理与控制国家重点实验室_平行控制
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 Engn & Automat, Tianjin Key Lab Proc Measurement & Control, Tianjin 300072, Peoples R China
3.Univ Rhode Isl, Dept Elect Comp & Biomed Engn, Kingston, RI 02881 USA
4.Univ Sci & Technol Beijing, Sch Automat & Elect Engn, Beijing 100083, Peoples R China
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Wang, Ding,Mu, Chaoxu,He, Haibo,et al. Event-Driven Adaptive Robust Control of Nonlinear Systems With Uncertainties Through NDP Strategy[J]. IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS,2017,47(7):1358-1370.
APA Wang, Ding,Mu, Chaoxu,He, Haibo,&Liu, Derong.(2017).Event-Driven Adaptive Robust Control of Nonlinear Systems With Uncertainties Through NDP Strategy.IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS,47(7),1358-1370.
MLA Wang, Ding,et al."Event-Driven Adaptive Robust Control of Nonlinear Systems With Uncertainties Through NDP Strategy".IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS 47.7(2017):1358-1370.
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