DocumentCode
1430113
Title
On the Equivalence and Condition of Different Consensus Over a Random Network Generated by i.i.d. Stochastic Matrices
Author
Song, Qingshuo ; Chen, Guanrong ; Ho, Daniel W C
Author_Institution
Dept. of Math., City Univ. of Hong Kong, Hong Kong, China
Volume
56
Issue
5
fYear
2011
fDate
5/1/2011 12:00:00 AM
Firstpage
1203
Lastpage
1207
Abstract
Our objective is to find a necessary and sufficient condition for consensus over a random network generated by i.i.d. stochastic matrices. We show that the consensus problem in all different types of convergence (almost surely, in probability, and in Lp for every p ≥ 1) are actually equivalent, thereby obtain the same necessary and sufficient condition for all of them. The main technique we used is based on the stability in a projected subspace of the concerned infinite sequences.
Keywords
matrix algebra; network theory (graphs); random processes; random sequences; stochastic processes; consensus problem; infinite sequence; random network generation; stability; stochastic matrices; Convergence; Difference equations; Random sequences; Stochastic processes; Tin; Topology; Consensus; random network; stability; stochastic matrix;
fLanguage
English
Journal_Title
Automatic Control, IEEE Transactions on
Publisher
ieee
ISSN
0018-9286
Type
jour
DOI
10.1109/TAC.2011.2107130
Filename
5692817
Link To Document