2019Unpublished venueRequires access

Controllability-Gramian Submatrices for a Network Consensus Model

Sandip Roy, Mengran Xue

Open publisher page 3 citations

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 determined 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. 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.

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What this paper is about

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 determined 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. 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.

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Available 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 determined 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. 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.

Key concepts: Controllability Gramian, Gramian matrix, Block matrix, Controllability, Mathematics, Eigenvalues and eigenvectors, Diagonal, Signed graph

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