Title
Achieving cluster consensus in continuous-time networks of multi-agents with adapted inputs
Abstract
In this paper, cluster consensus problem in continuous-time networks of multi-agents with external inputs is studied. Here, following [29], cluster consensus is defined in two aspects: intra-cluster synchronization, which means that the state differences among agents in the same cluster asymptotically converge to zero, and inter-cluster separation, which means the states of the agents in different clusters are separated. Under the inter-cluster common influence condition and with adapted inter-cluster identical inputs, the stability of cluster consensus is proved by extending the existing concepts and approaches in the matrix and graph theories to the cluster cases. The adapted inputs are also required to separate different clusters (or called inter-cluster separation). For the graph of the network, both static and switching topologies are considered. Numerical simulation to verify the theoretical results is given, too.
Year
DOI
Venue
2012
10.1109/CDC.2012.6426981
CDC
Keywords
Field
DocType
intercluster separation,multiagents,matrix algebra,numerical analysis,multi-agent systems,intracluster synchronization,continuous time systems,continuous time networks,numerical simulation,cluster consensus problem,switching topology,graph theory,stability,matrix theory,multi agent systems
Consensus,Graph theory,Topology,Cluster (physics),Mathematical optimization,Synchronization,Computer simulation,Computer science,Matrix (mathematics),Multi-agent system,Network topology,Distributed computing
Conference
Volume
Issue
ISSN
null
null
0743-1546 E-ISBN : 978-1-4673-2064-1
ISBN
Citations 
PageRank 
978-1-4673-2064-1
1
0.36
References 
Authors
10
3
Name
Order
Citations
PageRank
Yujuan Han11076.75
Wenlian Lu2133193.47
Tianping Chen33095250.77