Title
Consensus analysis of fractional-order nonlinear multi-agent systems with distributed and input delays.
Abstract
Fractional-order nonlinear multi-agent systems with distributed and input delays are considered, in which the topology of multi-agent system corresponds to a directed weighted graph or an undirected weighted graph. Several algebraic conditions on leader-following consensus are presented by using fractional-order Razumikhin approach and algebraic graph theory. Finally, we present two numerical examples to illustrate those conditions proposed are feasible and convenient to evaluate consensus.
Year
DOI
Venue
2019
10.1016/j.neucom.2018.10.045
Neurocomputing
Keywords
Field
DocType
Leader-following consensus,Distributed delay,Input delay,Razumikhin approach,Fractional-order nonlinear system
Topology,Graph,Nonlinear system,Algebraic number,Multi-agent system,Artificial intelligence,Algebraic graph theory,Machine learning,Mathematics
Journal
Volume
ISSN
Citations 
329
0925-2312
1
PageRank 
References 
Authors
0.35
17
5
Name
Order
Citations
PageRank
Ran Yang1919.74
Song Liu211.03
Ying-Ying Tan321.51
Yan-Jie Zhang441.08
Wei Jiang510.35