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Observer-critic structure-based adaptive dynamic programming for decentralised tracking control of unknown large-scale nonlinear systems
Zhao, Bo1; Liu, Derong2; Yang, Xiong3; Li, Yuanchun4
Source PublicationINTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
2017
Volume48Issue:9Pages:1978-1989
SubtypeArticle
AbstractIn this paper, a decentralised tracking control (DTC) scheme is developed for unknown large-scale nonlinear systems by using observer-critic structure-based adaptive dynamic programming. The control consists of local desired control, local tracking error control and a compensator. By introducing the local neural network observer, the subsystem dynamics can be identified. The identified subsystems can be used for the local desired control and the control input matrix, which is used in local tracking error control. Meanwhile, Hamiltonian-Jacobi-Bellman equation can be solved by constructing a critic neural network. Thus, the local tracking error control can be derived directly. To compensate the overall error caused by substitution, observation and approximation of the local tracking error control, an adaptive robustifying term is employed. Simulation examples are provided to demonstrate the effectiveness of the proposed DTC scheme.
KeywordAdaptive Dynamic Programming Decentralised Tracking Control Unknown Large-scale Nonlinear Systems Observer-critic Structure Neural Networks
WOS HeadingsScience & Technology ; Technology
DOI10.1080/00207721.2017.1296982
WOS KeywordFAULT-TOLERANT CONTROL ; INTERCONNECTED SYSTEMS ; INPUT CONSTRAINTS ; FEEDBACK ; IMPLEMENTATION ; NETWORKS
Indexed BySCI
Language英语
Funding OrganizationNational Natural Science Foundation of China(U1501251 ; Scientific and Technological Development Plan Project in Jilin Province of China(20150520112JH ; Beijing Municipal Natural Science Foundation(4162065) ; 61603387 ; 20160414033GH) ; 61533017 ; 61374051 ; 61374105 ; 61503379)
WOS Research AreaAutomation & Control Systems ; Computer Science ; Operations Research & Management Science
WOS SubjectAutomation & Control Systems ; Computer Science, Theory & Methods ; Operations Research & Management Science
WOS IDWOS:000401712300019
Citation statistics
Cited Times:9[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/15113
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, Peoples R China
2.Univ Sci & Technol Beijing, Sch Automat & Elect Engn, Beijing, Peoples R China
3.Tianjin Univ, Sch Elect Engn & Automat, Tianjin, Peoples R China
4.Changchun Univ Technol, Dept Control Sci & Engn, Changchun, Peoples R China
Recommended Citation
GB/T 7714
Zhao, Bo,Liu, Derong,Yang, Xiong,et al. Observer-critic structure-based adaptive dynamic programming for decentralised tracking control of unknown large-scale nonlinear systems[J]. INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE,2017,48(9):1978-1989.
APA Zhao, Bo,Liu, Derong,Yang, Xiong,&Li, Yuanchun.(2017).Observer-critic structure-based adaptive dynamic programming for decentralised tracking control of unknown large-scale nonlinear systems.INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE,48(9),1978-1989.
MLA Zhao, Bo,et al."Observer-critic structure-based adaptive dynamic programming for decentralised tracking control of unknown large-scale nonlinear systems".INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE 48.9(2017):1978-1989.
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