Paper Info
Title
Consensus Tracking Control of Switched Stochastic Nonlinear Multiagent Systems via Event-Triggered Strategy.
Abstract
In this paper, the consensus tracking problem is investigated for a class of continuous switched stochastic nonlinear multiagent systems with an event-triggered control strategy. For continuous stochastic multiagent systems via event-triggered protocols, it is rather difficult to avoid the Zeno behavior by the existing methods. Thus, we propose a new protocol design framework for the underlying systems. It is proven that follower agents can almost surely track the given leader signal with bounded errors and no agent exhibits the Zeno behavior by the given control scheme. Finally, two numerical examples are given to illustrate the effectiveness and advantages of the new design techniques.
Year
DOI
Venue
2020
10.1109/TNNLS.2019.2917137
IEEE transactions on neural networks and learning systems
Keywords
Field
DocType
Multi-agent systems,Switches,Protocols,Consensus algorithm,Nonlinear dynamical systems,Learning systems
Zeno's paradoxes,Nonlinear system,Computer science,Control theory,Multi-agent system,Event triggered,Protocol design,Artificial intelligence,Almost surely,Machine learning,Bounded function
Journal
Volume
Issue
ISSN
31
3
2162-237X
Citations 
PageRank 
References 
21
0.58
22
Authors
4
Name
Order
Citations
PageRank
Wencheng Zou11004.33
Peng Shi215816704.36
Zhengrong Xiang330231.42
Yan Shi428527.64