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IEEE Transactions on Automatic Control· 2012Q1

Consensus Problems on Networks With Antagonistic Interactions

Claudio Altafini

Short summary

Agents on signed networks can reach consensus, differing only by sign, even with antagonistic (negative weight) interactions.

AI-generated from the title and abstract; the full text is not read.

Key points

  • Agents on signed networks can achieve consensus where values differ only by sign.
  • Negative weights (antagonistic interactions) do not preclude consensus.
  • Conditions for signed consensus are analogous to monotone systems theory.
  • Linear and nonlinear Laplacian feedback designs are presented.

AI-generated from the title and abstract; the full text is not read.

Abstract

In a consensus protocol an agreement among agents is achieved thanks to the collaborative efforts of all agents, expresses by a communication graph with nonnegative weights. The question we ask in this paper is the following: is it possible to achieve a form of agreement also in presence of antagonistic interactions, modeled as negative weights on the communication graph? The answer to this question is affirmative: on signed networks all agents can converge to a consensus value which is the same for all agents except for the sign. Necessary and sufficient conditions are obtained to describe cases in which this is possible. These conditions have strong analogies with the theory of monotone systems. Linear and nonlinear Laplacian feedback designs are proposed.

The authors' abstract, as published at the source. IEEE Transactions on Automatic Control, 2012 · DOI ↗

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Field: Computer Networks and Communications

Computer Networks and CommunicationsComputer Science