Title
Impulsive coordination of nonlinear multi-agent systems with multiple leaders and stochastic disturbance.
Abstract
This paper studies the coordination of nonlinear multi-agent systems with multiple leaders and stochastic disturbance. Two impulsive control algorithms are proposed to make all agents to track the convex set determined by the multiple leaders under both fixed and switching topologies. Based on Lyapunov function and comparison principle of impulsive systems, some results on the convergence of the controlled systems are obtained. Finally, some numerical simulations demonstrate the validity of the proposed control algorithms.
Year
DOI
Venue
2016
10.1016/j.neucom.2015.06.015
Neurocomputing
Keywords
Field
DocType
Impulsive control,Multi-agent systems,Stochastic disturbance,Multiple leaders,Nonlinear
Convergence (routing),Control algorithm,Lyapunov function,Mathematical optimization,Nonlinear system,Control theory,Convex set,Multi-agent system,Network topology,Mathematics
Journal
Volume
Issue
ISSN
171
C
0925-2312
Citations 
PageRank 
References 
3
0.37
24
Authors
5
Name
Order
Citations
PageRank
Wei Li130.71
Hong Zhou22714.24
Zhi-Wei Liu334315.04
Yuzhen Qin4123.23
Zhenhua Wang566571.69