Decentralized guaranteed cost control of interconnected systems with uncertainties: A learning-based optimal control strategy
Wang, Ding1,3; Liu, Derong2; Mu, Chaoxu3; Ma, Hongwen1
2016-11-19
发表期刊NEUROCOMPUTING
卷号214页码:297-306
文章类型Article
摘要A 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.
关键词Adaptive Dynamic Programming Decentralized Control Guaranteed Cost Control Interconnected Systems Learning Control Neural Networks Optimal Control Uncertain Plant
WOS标题词Science & Technology ; Technology
DOI10.1016/j.neucom.2016.06.020
关键词[WOS]TIME NONLINEAR-SYSTEMS ; OPTIMAL-CONTROL DESIGN ; H-INFINITY CONTROL ; ROBUST-CONTROL ; POLICY ITERATION ; FEEDBACK-CONTROL ; HJB SOLUTION ; ALGORITHM ; PARAMETERS
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) ; 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研究方向Computer Science
WOS类目Computer Science, Artificial Intelligence
WOS记录号WOS:000386741300028
引用统计
被引频次:20[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/13374
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.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
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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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