The projection method for reaching consensus and the regularized power limit of a stochastic matrix
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Publication:2392630
DOI10.1134/S0005117911120034zbMath1269.93002arXiv1109.3948OpenAlexW2142285137MaRDI QIDQ2392630
R. P. Agaev, Pavel Yu. Chebotarev
Publication date: 2 August 2013
Published in: Automation and Remote Control (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1109.3948
multi-agent systemsDeGroot modelcommunication digraphdiscrete consensus problemregularized power limitsubsequent iterationsvector of initial opinions
Decentralized systems (93A14) Applications of graph theory to circuits and networks (94C15) Agent technology and artificial intelligence (68T42)
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Models of latent consensus, Dynamic graph models and their properties, The projection method for continuous-time consensus seeking, Regularization-based solution of the PageRank problem for large matrices, On the properties of orthogonal projection method for reaching consensus, On the convergence domain in the differential model of reaching a consensus, A cyclic representation of discrete coordination procedures, Consensus in social networks of compound nodes, Resource network with limited capacity of attractor vertices
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