Paper Info
Title
Distributed adaptive control of multi-agent systems under directed graph for asymptotically consensus tracking
Abstract
In this paper, a distributed adaptive control scheme is proposed for nth order multi-agent systems with pure integrator type of subsystem dynamics. It is assumed that the information transmission condition among different subsystems is represented by a fixed, balanced and weakly connected directed graph. The full knowledge of desired trajectory is allowed totally unknown by part of the subsystems, except that its first nth derivatives are bounded. It is shown that the globally uniform boundedness of all closed-loop signals and asymptotically consensus tracking for all the subsystem outputs can be guaranteed.
Year
DOI
Venue
2016
10.1109/ICARCV.2016.7838696
2016 14th International Conference on Control, Automation, Robotics and Vision (ICARCV)
Keywords
Field
DocType
closed-loop signals,fixed directed graph,balanced directed graph,weakly connected directed graph,information transmission condition,subsystem dynamics,pure integrator type,asymptotically consensus tracking,directed graph,nth order multiagent systems,distributed adaptive control
Computer science,Control theory,Directed graph,Integrator,Uniform boundedness,Multi-agent system,Automation,Control engineering,Adaptive control,Trajectory,Bounded function
Conference
ISSN
ISBN
Citations 
2474-2953
978-1-5090-3550-2
0
PageRank 
References 
Authors
0.34
13
3
Name
Order
Citations
PageRank
Wei Wang165829.49
Jiangshuai Huang238618.80
Changyun Wen33686284.86