Reaching a nonlinear consensus: polynomial stochastic operators

We provide a general nonlinear protocol for a structured time-varying and synchronous multi-agent system. We present an opinion sharing dynamics of the multi-agent system as a trajectory of a polynomial stochastic operator associated with a multidimensional stochastic hypermatrix. We show that the...

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Bibliographic Details
Main Authors: Saburov, Mansoor, Saburov, Khikmat
Format: Article
Language:English
English
English
Published: Springer 2014
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Online Access:http://irep.iium.edu.my/38828/1/38828_Reaching%20a%20nonlinear%20consensus.pdf
http://irep.iium.edu.my/38828/2/38828_Reaching%20a%20nonlinear%20consensus_SCOPUS.pdf
http://irep.iium.edu.my/38828/3/38828_Reaching%20a%20nonlinear%20consensus_WOS.pdf
http://irep.iium.edu.my/38828/
http://link.springer.com/article/10.1007/s12555-014-0061-0
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Institution: Universiti Islam Antarabangsa Malaysia
Language: English
English
English
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Summary:We provide a general nonlinear protocol for a structured time-varying and synchronous multi-agent system. We present an opinion sharing dynamics of the multi-agent system as a trajectory of a polynomial stochastic operator associated with a multidimensional stochastic hypermatrix. We show that the multi-agent system eventually reaches to a consensus if either one of the following two conditions is satisfied: (i) every member of the group people has a positive subjective opinion on the given task after some revision steps or (ii) all entries of a multidimensional stochastic hypermatrix are positive. Numerical results are also presented.