Paper Info
Title
An Impulsive Framework For Consensus Learning Via Event-Triggered Scheme
Abstract
This paper proposes a novel impulsive framework to study the leader-following consensus in multi-agent systems with an event-triggered mechanism. To be specific, we design an impulsive model to reflect information exchange under event-triggered strategy. Hence the stabilization of this impulsive model can sufficiently guarantee that all followers in original multiagent systems can track the leader finally. The key idea is that impulses happen only when it is needed rather than elapse of time in conventional impulsive schemes. Moreover, we also apply an impulsive model to investigate the case where followers' states with the external disturbance is available instead of their exact states. Thus leader-following H-infinity consensus can be achieved under well-designed event-triggered protocols.
Year
DOI
Venue
2016
10.1109/ICIT.2016.7474957
PROCEEDINGS 2016 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL TECHNOLOGY (ICIT)
Keywords
Field
DocType
Event-triggered, leader-following, impulsive, consensus
Computer science,Control theory,Information exchange,Control engineering,Multi-agent system,Event triggered,Distributed computing
Conference
Citations 
PageRank 
References 
0
0.34
0
Authors
5
Name
Order
Citations
PageRank
Wenying Xu11988.81
Daniel W.C. Ho25311285.38
Jie Zhong317114.53
Jianquan Lu42337116.05
Lulu Li510.70