2013arXiv (Cornell University)Open access

The Deformed Consensus Protocol: Extended Version

Fabio Morbidi

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Abstract

This paper studies a generalization of the standard continuous-time consensus protocol, obtained by replacing the Laplacian matrix of the communication graph with the so-called deformed Laplacian. The deformed Laplacian is a second-degree matrix polynomial in the real variable 's' which reduces to the standard Laplacian for 's' equal to unity. The stability properties of the ensuing deformed consensus protocol are studied in terms of parameter 's' for some special families of undirected and directed graphs, and for arbitrary graph topologies by leveraging the spectral theory of quadratic eigenvalue problems. Examples and simulation results are provided to illustrate our theoretical findings.

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This paper studies a generalization of the standard continuous-time consensus protocol, obtained by replacing the Laplacian matrix of the communication graph with the so-called deformed Laplacian. The deformed Laplacian is a second-degree matrix polynomial in the real variable 's' which reduces to the standard Laplacian for 's' equal to unity. The stability properties of the ensuing deformed consensus protocol are studied in terms of parameter 's' for some special families of undirected and directed graphs, and for arbitrary graph topologies by leveraging the spectral theory of quadratic eigenvalue problems. Examples and simulation results are provided to illustrate our theoretical findings.

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Available abstract

This paper studies a generalization of the standard continuous-time consensus protocol, obtained by replacing the Laplacian matrix of the communication graph with the so-called deformed Laplacian. The deformed Laplacian is a second-degree matrix polynomial in the real variable 's' which reduces to the standard Laplacian for 's' equal to unity. The stability properties of the ensuing deformed consensus protocol are studied in terms of parameter 's' for some special families of undirected and directed graphs, and for arbitrary graph topologies by leveraging the spectral theory of quadratic eigenvalue problems. Examples and simulation results are provided to illustrate our theoretical findings.

Key concepts: Protocol (science), Computer science, Medicine, Pathology, Alternative medicine

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