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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 | |
发表期刊 | INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE |
2017 | |
卷号 | 48期号:9页码:1978-1989 |
文章类型 | Article |
摘要 | In 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. |
关键词 | Adaptive Dynamic Programming Decentralised Tracking Control Unknown Large-scale Nonlinear Systems Observer-critic Structure Neural Networks |
WOS标题词 | Science & Technology ; Technology |
DOI | 10.1080/00207721.2017.1296982 |
关键词[WOS] | FAULT-TOLERANT CONTROL ; INTERCONNECTED SYSTEMS ; INPUT CONSTRAINTS ; FEEDBACK ; IMPLEMENTATION ; NETWORKS |
收录类别 | SCI |
语种 | 英语 |
项目资助者 | National 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研究方向 | Automation & Control Systems ; Computer Science ; Operations Research & Management Science |
WOS类目 | Automation & Control Systems ; Computer Science, Theory & Methods ; Operations Research & Management Science |
WOS记录号 | WOS:000401712300019 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/15113 |
专题 | 多模态人工智能系统全国重点实验室_复杂系统智能机理与平行控制团队 |
作者单位 | 1.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 |
第一作者单位 | 中国科学院自动化研究所 |
推荐引用方式 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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