Decentralized guaranteed cost control of interconnected systems with uncertainties: A learning-based optimal control strategy

doi:10.1016/j.neucom.2016.06.020

CORC > 自动化研究所 > 中国科学院自动化研究所 > 复杂系统管理与控制国家重点实验室 > 平行控制

	Decentralized guaranteed cost control of interconnected systems with uncertainties: A learning-based optimal control strategy
	Wang, Ding1,3 ; Liu, Derong 2; Mu, Chaoxu 3; Ma, Hongwen1
刊名	NEUROCOMPUTING
	2016-11-19
卷号	214 页码:297-306
关键词	Adaptive Dynamic Programming Decentralized Control Guaranteed Cost Control Interconnected Systems Learning Control Neural Networks Optimal Control Uncertain Plant
DOI	10.1016/j.neucom.2016.06.020
文献子类	Article
英文摘要	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.
WOS关键词	TIME NONLINEAR-SYSTEMS ; OPTIMAL-CONTROL DESIGN ; H-INFINITY CONTROL ; ROBUST-CONTROL ; POLICY ITERATION ; FEEDBACK-CONTROL ; HJB SOLUTION ; ALGORITHM ; PARAMETERS
WOS研究方向	Computer Science
语种	英语
WOS记录号	WOS:000386741300028
资助机构	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)
内容类型	期刊论文
源URL	[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
推荐引用方式 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.