Paper Info
Title
The Stability of Stochastic Coupled Systems With Time-Varying Coupling and General Topology Structure.
Abstract
We introduce a class of novel stochastic coupled systems in which the coupling structure is time-varying and the topology structure is not strongly connected, and first establish the system on a digraph with a time-varying weight matrix. Motivated by Du and Li (2014), we give a hierarchical method to deal with digraphs without strong connectivity and establish the corresponding hierarchical algori...
Year
DOI
Venue
2018
10.1109/TNNLS.2017.2757767
IEEE Transactions on Neural Networks and Learning Systems
Keywords
Field
DocType
Couplings,Asymptotic stability,Numerical stability,Stability criteria,Lyapunov methods,Time-varying systems,Topology
Stability criterion,Topology,Lyapunov function,Coupling,Pattern recognition,General topology,Computer science,Matrix (mathematics),Exponential stability,Artificial intelligence,Strongly connected component,Numerical stability
Journal
Volume
Issue
ISSN
29
9
2162-237X
Citations 
PageRank 
References 
6
0.46
9
Authors
3
Name
Order
Citations
PageRank
Yan Liu124173.08
Wenxue Li221626.14
Ji-Qiang Feng3426.70