Title
Controllability-Gramian submatrices for a network consensus model
Abstract
Principal submatrices of the controllability Gramian and their inverses are examined, for a network-consensus model with inputs at a subset of network nodes. Several properties of the Gramian submatrices and their inverses – including dominant eigenvalues and eigenvectors, diagonal entries, and sign patterns – are characterized by exploiting the special doubly-nonnegative structure of the matrices. In addition, majorizations for these properties are obtained in terms of cutsets in the network’s graph, based on the diffusive form of the model. The asymptotic (long time horizon) structure of the controllability Gramian is also analyzed. The results on the Gramian are used to study metrics for target control of the network-consensus model.
Year
DOI
Venue
2020
10.1016/j.sysconle.2019.104575
Systems & Control Letters
Keywords
Field
DocType
Network consensus,Controllability and target controllability,Security,Gramian
Diagonal,Applied mathematics,Mathematical optimization,Time horizon,Matrix (mathematics),Node (networking),Gramian matrix,Mathematics,Block matrix,Eigenvalues and eigenvectors,Controllability Gramian
Journal
Volume
ISSN
Citations 
136
0167-6911
1
PageRank 
References 
Authors
0.35
0
2
Name
Order
Citations
PageRank
Sandip Roy130153.03
Mengran Xue26113.36