Linear Consensus Algorithms Based on Balanced Asymmetric Chains
Optimization and Control
2020-08-04 v2 Systems and Control
Systems and Control
Dynamical Systems
Abstract
Multi agent consensus algorithms with update steps based on so-called balanced asymmetric chains, are analyzed. For such algorithms it is shown that (i) the set of accumulation points of states is finite, (ii) the asymptotic unconditional occurrence of single consensus or multiple consensuses is directly related to the property of absolute infinite flow for the underlying update chain. The results are applied to well known consensus models.
Cite
@article{arxiv.1204.6093,
title = {Linear Consensus Algorithms Based on Balanced Asymmetric Chains},
author = {Sadegh Bolouki and Roland P. Malhame},
journal= {arXiv preprint arXiv:1204.6093},
year = {2020}
}
Comments
15 pages