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Decentralized guaranteed cost control of interconnected systems with uncertainties: A learning-based optimal control strategy
Wang, Ding1,3; Liu, Derong2; Mu, Chaoxu3; Ma, Hongwen1
Source PublicationNEUROCOMPUTING
2016-11-19
Volume214Pages:297-306
SubtypeArticle
AbstractA novel learning-based optimal control approach is constructed to attain the decentralized guaranteed cost controller design for a class of continuous-time complex nonlinear systems with dynamical uncertainties and interconnections. This is performed by combining robust decentralized control formulation with adaptive critic learning technique. By expressing the interconnected subsystems as a whole system and introducing a new cost function for the overall plant, the decentralized guaranteed cost control problem is formulated as an optimal control problem for the nominal overall system. Then, a policy iteration based learning control algorithm is employed to solve the modified Hamilton-Jacobi-Bellman equation with respect to the nominal plant iteratively. A critic neural network is constructed to approximate the optimal state feedback control law and then the uniform ultimate boundedness stability issue is analyzed. Meanwhile, a simulation experiment is conducted to verify the good performance of the control approach. (C) 2016 Elsevier B.V. All rights reserved.
KeywordAdaptive Dynamic Programming Decentralized Control Guaranteed Cost Control Interconnected Systems Learning Control Neural Networks Optimal Control Uncertain Plant
WOS HeadingsScience & Technology ; Technology
DOI10.1016/j.neucom.2016.06.020
WOS KeywordTIME NONLINEAR-SYSTEMS ; OPTIMAL-CONTROL DESIGN ; H-INFINITY CONTROL ; ROBUST-CONTROL ; POLICY ITERATION ; FEEDBACK-CONTROL ; HJB SOLUTION ; ALGORITHM ; PARAMETERS
Indexed BySCI
Language英语
Funding OrganizationNational Natural Science Foundation of China(61233001 ; Beijing Natural Science Foundation(4162065) ; Tianjin Natural Science Foundation(14JCQNJC05400) ; Research Fund of Tianjin Key Laboratory of Process Measurement and Control(TKLPMC-201612) ; Early Career Development Award of SKLMCCS ; 61273140 ; 61304018 ; 61304086 ; 61533017 ; U1501251 ; 61411130160)
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence
WOS IDWOS:000386741300028
Citation statistics
Cited Times:21[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/13374
Collection复杂系统管理与控制国家重点实验室_平行控制
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
3.Tianjin Univ, Sch Elect Engn & Automat, Tianjin Key Lab Proc Measurement & Control, Tianjin 300072, Peoples R China
Recommended Citation
GB/T 7714
Wang, Ding,Liu, Derong,Mu, Chaoxu,et al. Decentralized guaranteed cost control of interconnected systems with uncertainties: A learning-based optimal control strategy[J]. NEUROCOMPUTING,2016,214:297-306.
APA Wang, Ding,Liu, Derong,Mu, Chaoxu,&Ma, Hongwen.(2016).Decentralized guaranteed cost control of interconnected systems with uncertainties: A learning-based optimal control strategy.NEUROCOMPUTING,214,297-306.
MLA Wang, Ding,et al."Decentralized guaranteed cost control of interconnected systems with uncertainties: A learning-based optimal control strategy".NEUROCOMPUTING 214(2016):297-306.
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