Title
SUB-/SUPER-STOCHASTIC MATRIX WITH APPLICATIONS TO BIPARTITE TRACKING CONTROL OVER SIGNED NETWORKS
Abstract
In this contribution, the properties of sub-stochastic matrices and super-stochastic matrices are applied to solve the bipartite tracking issues of multi-agent systems (MASs) over signed networks, in which the edges with positive weight and negative weight are used to describe cooperation and competition among the agents, respectively. With the help of nonnegative matrix theory together with some key results related to the compositions of directed edge sets, we establish a systematic algebraic-graphical method of dealing with the product convergence of infinite sub-stochastic matrices and infinite super-stochastic matrices. By using this method, the stability of MASs over signed networks under different actual scenarios is analyzed, including asynchronous interactions, lossy links, random networks, matrix disturbance, external noise disturbance, and a leader of unmeasurable velocity and acceleration. Finally, the efficiency of the proposed method is verified by computer simulations.
Year
DOI
Venue
2021
10.1137/19M1239982
SIAM JOURNAL ON CONTROL AND OPTIMIZATION
Keywords
DocType
Volume
sub-stochastic matrix, super-stochastic matrix, multi-agent systems, bipartite tracking control
Journal
59
Issue
ISSN
Citations 
6
0363-0129
3
PageRank 
References 
Authors
0.38
0
4
Name
Order
Citations
PageRank
Lei Shi130655.98
Wei Xing Zheng24266274.73
Jin-Liang Shao39610.49
Yuhua Cheng413633.41