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Multi‐Tracking of First Order Multi‐Agent Networks Via Self‐Triggered Control
Author(s) -
Han GuangSong,
Guan ZhiHong,
Chen Jie,
He DingXin,
Chi Ming
Publication year - 2015
Publication title -
asian journal of control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.769
H-Index - 53
eISSN - 1934-6093
pISSN - 1561-8625
DOI - 10.1002/asjc.1003
Subject(s) - subnetwork , multi agent system , tracking (education) , computer science , network topology , bounded function , control theory (sociology) , zeno's paradoxes , trajectory , scheduling (production processes) , topology (electrical circuits) , control (management) , distributed computing , mathematical optimization , mathematics , artificial intelligence , computer network , psychology , pedagogy , mathematical analysis , physics , geometry , combinatorics , astronomy
A multi‐tracking problem of multi‐agent networks is investigated in this paper where multi‐tracking refers to that the states of multiple agents in each subnetwork asymptotically converge to the same desired trajectory in the presence of information exchanges among subnetworks. The multi‐tracking of first order multi‐agent networks with directed topologies was studied. Self‐triggered protocols were proposed along with triggering functions to solve the stationary multi‐tracking and bounded dynamic multi‐tracking. The self‐triggered scheduling is obtained, and the system does not exhibit Zeno behavior. Numerical examples are provided to illustrate the effectiveness of the obtained criteria.