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Decentralized Robust Adaptive Control for the Multiagent System Consensus Problem Using Neural Networks
Hou, Zeng-Guang1; Cheng, Long1,2; Tan, Min1
Source PublicationIEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS
2009-06-01
Volume39Issue:3Pages:636-647
SubtypeArticle
AbstractA 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.
KeywordAdaptive Approximation Consensus Multiagent System Neural Networks Robust Uncertainty
WOS HeadingsScience & Technology ; Technology
WOS KeywordDYNAMIC AGENTS ; ALGORITHMS ; COORDINATION ; TOPOLOGY ; DELAYS
Indexed BySCI
Language英语
WOS Research AreaAutomation & Control Systems ; Computer Science
WOS SubjectAutomation & Control Systems ; Computer Science, Artificial Intelligence ; Computer Science, Cybernetics
WOS IDWOS:000266069600005
Citation statistics
Cited Times:346[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/3434
Collection复杂系统管理与控制国家重点实验室_先进机器人
Affiliation1.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
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
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.
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