English

Controllability-Gramian Submatrices for a Network Consensus Model

Systems and Control 2019-03-22 v1 Signal Processing Dynamical Systems Physics and Society

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. Specifically, 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.

Keywords

Cite

@article{arxiv.1903.09125,
  title  = {Controllability-Gramian Submatrices for a Network Consensus Model},
  author = {Sandip Roy and Mengran Xue},
  journal= {arXiv preprint arXiv:1903.09125},
  year   = {2019}
}

Comments

submitted to Systems & Control Letters

R2 v1 2026-06-23T08:15:22.468Z