Title
Event-Triggered Consensus Tracking Control of Stochastic Nonlinear Multiagent Systems
Abstract
This paper addresses the event-triggered consensus tracking problem for a class of higher order stochastic nonlinear multiagent systems. First, we propose a new protocol design framework. Then, a novel adaptive consensus tracking protocol, under which the continuous communication is not required, is developed for the stochastic nonlinear multiagent systems. Using the Lyapunov functional approach and the stochastic theory, it is proven that the consensus tracking control objective can be achieved by the designed control law. The Zeno behavior was excluded by showing that there exists a lower bound for interevent instants. Finally, to verify the effectiveness of the given event-triggered control scheme, two numerical examples are provided.
Year
DOI
Venue
2019
10.1109/JSYST.2019.2910723
IEEE Systems Journal
Keywords
Field
DocType
Multi-agent systems,Protocols,Nonlinear systems,Trajectory,Topology,Eigenvalues and eigenfunctions
Nonlinear system,Computer science,Multi-agent system,Real-time computing,Event triggered,Distributed computing
Journal
Volume
Issue
ISSN
13
4
1932-8184
Citations 
PageRank 
References 
5
0.39
0
Authors
3
Name
Order
Citations
PageRank
Wencheng Zou11004.33
Choon Ki Ahn2121881.53
Zhengrong Xiang333422.01