Event-Driven Adaptive Robust Control of Nonlinear Systems With Uncertainties Through NDP Strategy
Wang, Ding1,2; Mu, Chaoxu2; He, Haibo3; Liu, Derong4
AbstractIn 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.
KeywordAdaptive Dynamic Programming (Adp) Adaptive Robust Control Critic Neural Network Event-driven Control Neural Dynamic Programming (Ndp) Uncertain Nonlinear Systems
WOS HeadingsScience & Technology ; Technology
Indexed BySCI
Funding OrganizationNational 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 Research AreaAutomation & Control Systems ; Computer Science
WOS SubjectAutomation & Control Systems ; Computer Science, Cybernetics
WOS IDWOS:000404354600026
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Cited Times:65[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Affiliation1.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
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
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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