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Decentralized Robust Adaptive Control for the Multiagent System Consensus Problem Using Neural Networks
文献类型：期刊论文
| 作者 | Hou, Zeng-Guang1 ; Cheng, Long1,2; Tan, Min1
|
| 刊名 | IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS
 |
| 出版日期 | 2009-06-01 |
| 卷号 | 39期号:3页码:636-647 |
| 关键词 | Adaptive approximation consensus multiagent system neural networks robust uncertainty |
| 英文摘要 | A robust adaptive control approach is proposed to solve the consensus problem of multiagent systems. Compared with the previous work, the agent's dynamics includes the uncertainties and external disturbances, which is more practical in real-world applications. Due to the approximation capability of neural networks, the uncertain dynamics is compensated by the adaptive neural network scheme. The effects of the approximation error and external disturbances are counteracted by employing the robustness signal. The proposed algorithm is decentralized because the controller for each agent only utilizes the information of its neighbor agents. By the theoretical analysis, it is proved that the consensus error can be reduced as small as desired. The proposed method is then extended to two cases: Agents form a prescribed formation, and agents have the higher order dynamics. Finally, simulation examples are given to demonstrate the satisfactory performance of the proposed method. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Automation & Control Systems ; Computer Science, Artificial Intelligence ; Computer Science, Cybernetics |
| 研究领域[WOS] | Automation & Control Systems ; Computer Science |
| 关键词[WOS] | DYNAMIC AGENTS ; ALGORITHMS ; COORDINATION ; TOPOLOGY ; DELAYS |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000266069600005 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/3434]  |
| 专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_先进机器人控制团队 |
| 作者单位 | 1.Chinese Acad Sci, Inst Automat, Key Lab Complex Syst & Intelligence Sci, Beijing 100190, Peoples R China 2.Chinese Acad Sci, Grad Univ, Beijing 100049, Peoples R China |
| 推荐引用方式 GB/T 7714 | Hou, Zeng-Guang,Cheng, Long,Tan, Min. Decentralized Robust Adaptive Control for the Multiagent System Consensus Problem Using Neural Networks[J]. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS,2009,39(3):636-647. |
| APA | Hou, Zeng-Guang,Cheng, Long,&Tan, Min.(2009).Decentralized Robust Adaptive Control for the Multiagent System Consensus Problem Using Neural Networks.IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS,39(3),636-647. |
| MLA | Hou, Zeng-Guang,et al."Decentralized Robust Adaptive Control for the Multiagent System Consensus Problem Using Neural Networks".IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS 39.3(2009):636-647. |
入库方式： OAI收割
来源：自动化研究所
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