Nonlinear convergence algorithm: structural properties with doubly stochastic quadratic operators for multi-agent systems

Nonlinear convergence algorithm: structural properties with doubly stochastic quadratic operators for multi-agent systems

This paper proposes nonlinear operator of extreme doubly stochastic quadratic operator (EDSQO) for convergence algorithm aimed at solving consensus problem (CP) of discrete-time for multi-agent systems (MAS) on n-dimensional simplex. The first part undertakes systematic review of consensus problems....

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Bibliographic Details
Main Authors: Abdulghafor, Rawad Abdulkhaleq Abdulmolla, Turaev, Sherzod, Zeki, Akram M., Adamu, Abubakar Ibrahim
Format: Article
Language:English
English
English
Published: De Gruyter 2018
Subjects:
QA Mathematics
QA75 Electronic computers. Computer science
Online Access:http://irep.iium.edu.my/59266/
http://irep.iium.edu.my/59266/1/jaiscr-2018-0003.pdf
http://irep.iium.edu.my/59266/7/59266_Nonlinear%20convergence%20algorithm_scopus.pdf
http://irep.iium.edu.my/59266/13/59266_Nonlinear%20convergence%20algorithm_WoS.pdf

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