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Distributed average tracking for multiple signals generated by linear dynamical systems: An edge-based framework
Zhao, Yu ; Liu, Yongfang ; Li, Zhongkui ; Duan, Zhisheng
刊名AUTOMATICA
2017
关键词Distributed control Average tracking Linear dynamics Continuous algorithm MOTION PLANNING APPROACH MULTIAGENT SYSTEMS CLOCK SYNCHRONIZATION NONLINEAR-SYSTEMS DIRECTED-GRAPHS CONSENSUS LEADER DESIGN CONTAINMENT ALGORITHM
DOI10.1016/j.automatica.2016.09.005
英文摘要This paper studies the distributed average tracking problem for multiple time-varying signals generated by linear dynamics, whose reference inputs are nonzero and not available to any agent in the network. In the edge-based framework, a pair of continuous algorithms with, respectively, static and adaptive coupling strengths is designed. Based on the boundary layer concept, the proposed continuous algorithm with static coupling strengths can asymptotically track the average of multiple reference signals without the chattering phenomenon. Furthermore, for the case of algorithms with adaptive coupling strengths, average tracking errors are uniformly ultimately bounded and exponentially converge to a small adjustable bounded set. Finally, a simulation example is presented to show the validity of theoretical results. (C) 2016 Elsevier Ltd. All rights reserved.; National Natural Science Foundation of China [61603300, 61603301, 61225013, 61473005, 11332001]; SCI(E); ARTICLE; 158-166; 75
语种英语
内容类型期刊论文
源URL[http://ir.pku.edu.cn/handle/20.500.11897/476492]  
专题工学院
推荐引用方式
GB/T 7714
Zhao, Yu,Liu, Yongfang,Li, Zhongkui,et al. Distributed average tracking for multiple signals generated by linear dynamical systems: An edge-based framework[J]. AUTOMATICA,2017.
APA Zhao, Yu,Liu, Yongfang,Li, Zhongkui,&Duan, Zhisheng.(2017).Distributed average tracking for multiple signals generated by linear dynamical systems: An edge-based framework.AUTOMATICA.
MLA Zhao, Yu,et al."Distributed average tracking for multiple signals generated by linear dynamical systems: An edge-based framework".AUTOMATICA (2017).
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