Paper Info
Title
Pinning dynamic complex networks by time-varying controller-vertex set
Abstract
In this paper, we give a stability analysis of multi-agent system with a local pinning control algorithm for very general network topologies. These include determinately directed time varying topologies, the stochastically switching topologies. The pinned vertex set also varies with time, including deterministic and stochastic time-variations. We present sufficient conditions to guarantee the convergence of the pinning process: for the deterministic case, a time-varying pinned vertex set can stabilize the network of multi-agents with time-varying topologies if any vertex in the networks can be accessed by directed paths by at least one vertex in the pinned vertex set across all time intervals that are pre-defined; Similar results are also given for the stochastically switching case. As applications, numerical simulations based on the random waypoint model are given to verify our theoretical results.
Year
DOI
Venue
2014
10.1109/IJCNN.2014.6889628
IJCNN
Keywords
Field
DocType
stochastically switching topologies,time-varying controller-vertex set,time-varying systems,directed time varying topologies,dynamic complex networks,multi-agent systems,complex networks,multi-agent system,topology,local pinning control algorithm,stability analysis,very general network topologies,multi agent systems,couplings,switches,network topology,multi agent system,stochastic processes
Logical topology,Topology,Control theory,Comparison of topologies,Vertex (geometry),Computer science,Artificial intelligence,Complex network,Extension topology,Machine learning,Distributed computing
Conference
ISSN
Citations 
PageRank 
2161-4393
0
0.34
References 
Authors
9
3
Name
Order
Citations
PageRank
Yujuan Han11076.75
Wenlian Lu2133193.47
Tianping Chen33095250.77