Data-Driven Optimal Output Cluster Synchronization Control of Heterogeneous Multi-Agent Systems
文献类型：期刊论文
| 作者 | Li, Hongyang1,2 ; Wei, Qinglai1,2,3
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| 刊名 | IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
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| 出版日期 | 2023-07-04 |
| 页码 | 11 |
| ISSN号 | 1545-5955 |
| 关键词 | Index Terms- Output cluster synchronization control data-driven control adaptive dynamic programming policy iteration heterogeneous multi-agent systems optimal control |
| DOI | 10.1109/TASE.2023.3289950 |
| 通讯作者 | Wei, Qinglai(qinglai.wei@ia.ac.cn) |
| 英文摘要 | This paper presents a novel data-driven optimal output cluster synchronization control method for heterogeneous multi-agent systems with disturbances based on adaptive dynamic programming. Traditional cluster synchronization control methods require the information of system matrices, which limit the application scope in the reality. In order to solve this problem, a novel data-driven optimal control method is presented, where the input-state data is utilized without the information of system matrices of state equations, to realize the output cluster synchronization of multi-agent systems. The major contributions are displayed as follows: 1) a novel data-driven optimal output cluster synchronization control method is presented which requires the input-state data of multi-agent systems; 2) a novel distributed adaptive observer is designed which can avoid the effects of negative edge weights between the clusters; 3) the output cluster synchronization control problem is transformed into the output regulation problem, and adaptive dynamic programming method is presented which can realize the disturbance rejection. First, the output cluster synchronization control problem is formulated. Next, a novel optimal output cluster synchronization control method is presented based on distributed adaptive observer and adaptive dynamic programming. Numerical experiment shows the good performance of the presented method. Note to Practitioners-Most of the existing cluster synchronization control methods require the information of system matrices. However, it is hard to obtain the accurate system models in the reality, which limits the application scope of the existing methods. On the other hand, the disturbances in practice make the effective cluster synchronization control of multi-agent systems very challenging. Aiming at the above problems, this paper designs novel data-driven optimal control laws for heterogeneous multi-agent systems with disturbances to realize the output cluster synchronization. A novel distributed adaptive observer is designed to estimate the states and system matrices of leaders. Then, the adaptive dynamic programming method is presented to obtain the optimal control law of each agent based on the estimated information. Comparative experiment is provided to show the good performance of the presented method. |
| WOS关键词 | COUPLE-GROUP CONSENSUS ; STABILITY |
| 资助项目 | National Key Research and Development Program of China[2021YFE0206100] ; National Natural Science Foundation of China[62073321] ; National Defense Basic Scientific Research Program of China[JCKY2019203C029] ; Science and Technology Development Fund, Macau, SAR[FDCT-22-009-MISE] ; Science and Technology Development Fund, Macau, SAR[0060/2021/A2] ; Science and Technology Development Fund, Macau, SAR[0015/2020/AMJ] ; State Key Laboratory of Rail Traffic Control and Safety[RCS2021K005] |
| WOS研究方向 | Automation & Control Systems |
| 语种 | 英语 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| WOS记录号 | WOS:001025594700001 |
| 资助机构 | National Key Research and Development Program of China ; National Natural Science Foundation of China ; National Defense Basic Scientific Research Program of China ; Science and Technology Development Fund, Macau, SAR ; State Key Laboratory of Rail Traffic Control and Safety |
| 源URL | [http://ir.ia.ac.cn/handle/173211/53609]  |
| 专题 | 多模态人工智能系统全国重点实验室 |
| 通讯作者 | Wei, Qinglai |
| 作者单位 | 1.Chinese Acad Sci, Inst Automat, State Key Lab Multimodal Artificial Intelligence S, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China 3.Macau Univ Sci & Technol, Inst Syst Engn, Macau, Peoples R China |
| 推荐引用方式 GB/T 7714 | Li, Hongyang,Wei, Qinglai. Data-Driven Optimal Output Cluster Synchronization Control of Heterogeneous Multi-Agent Systems[J]. IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING,2023:11. |
| APA | Li, Hongyang,&Wei, Qinglai.(2023).Data-Driven Optimal Output Cluster Synchronization Control of Heterogeneous Multi-Agent Systems.IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING,11. |
| MLA | Li, Hongyang,et al."Data-Driven Optimal Output Cluster Synchronization Control of Heterogeneous Multi-Agent Systems".IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING (2023):11. |
入库方式： OAI收割
来源：自动化研究所
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