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Distributed neural control for cooperative tracking of uncertain nonlinear multi-agent systems under a directed network
Peng, Zhouhua ; Wang, Dan ; Lan, Weiyao ; Lan WY(兰维瑶)
2013
关键词Controllers Multi agent systems Riccati equations Sensor networks Telecommunication networks
英文摘要Conference Name:2013 2nd International Symposium on Instrumentation and Measurement, Sensor Network and Automation, IMSNA 2013. Conference Address: Toronto, ON, Canada. Time:December 23, 2013 - December 24, 2013.; This paper considers the cooperative tracking problem of uncertain nonlinear multi-agent systems over a directed network where only a fraction of followers have access to the state of the leader. Distributed neural cooperative controller based on the relative state information of neighboring agents is developed. An algebraic Riccati equation is employed to show the stability of overall multi-agent systems. Based on Lyapunov stability analysis, the developed controller guarantees that the state of each agent synchronizes to that of the leader if the leader has directed paths to all followers, and the synchronization errors are uniformly ultimately bounded. The main advantage of the developed controller is that it can be implemented in a distributed manner without requiring the accurate model of each agent. Future works include an extension to the output feedback case. ? 2013 IEEE.
语种英语
出处http://dx.doi.org/10.1109/IMSNA.2013.6742808
出版者IEEE Computer Society
内容类型其他
源URL[http://dspace.xmu.edu.cn/handle/2288/86583]  
专题信息技术-会议论文
推荐引用方式
GB/T 7714
Peng, Zhouhua,Wang, Dan,Lan, Weiyao,et al. Distributed neural control for cooperative tracking of uncertain nonlinear multi-agent systems under a directed network. 2013-01-01.
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