Ergodic theory of nonlinear markov operators with applications in nonlinear consensus problems

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Ergodic theory of nonlinear markov operators with applications in nonlinear consensus problems

A consensus problem of multi-agent systems has been considered a dual problem to Markov chains. Historically, an idea of reaching consensus through linear repeated averaging was introduced by DeGroot (see [1]) for a structured time-invariant and synchronous environment. Since that time, the consensu...

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Bibliographic Details
Main Author:	Saburov, Mansoor
Format:	Proceeding Paper
Language:	English
Published:	2016
Subjects:	QA Mathematics
Online Access:	http://irep.iium.edu.my/54406/ http://irep.iium.edu.my/54406/1/NCTS%20---%20IREP.pdf

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