Decentralized Robust Adaptive Control for the Multiagent System Consensus Problem Using Neural Networks

	Decentralized Robust Adaptive Control for the Multiagent System Consensus Problem Using Neural Networks
	Hou, Zeng-Guang1 ; Cheng, Long1,2 ; Tan, Min1
发表期刊	IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS
	2009-06-01
卷号	39 期号:3 页码:636-647
文章类型	Article
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.
关键词	Adaptive Approximation Consensus Multiagent System Neural Networks Robust Uncertainty
WOS标题词	Science & Technology ; Technology
关键词[WOS]	DYNAMIC AGENTS ; ALGORITHMS ; COORDINATION ; TOPOLOGY ; DELAYS
收录类别	SCI
语种	英语
WOS研究方向	Automation & Control Systems ; Computer Science
WOS类目	Automation & Control Systems ; Computer Science, Artificial Intelligence ; Computer Science, Cybernetics
WOS记录号	WOS:000266069600005
引用统计	被引频次：521[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/3434
专题	复杂系统认知与决策实验室_先进机器人
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
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	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.