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

• 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/59266/1/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; http://irep.iium.edu.my/59266/; https://www.degruyter.com/downloadpdf/j/jaiscr.2018.8.issue-1/jaiscr-2018-0003/jaiscr-2018-0003.pdf
• Institution: Universiti Islam Antarabangsa Malaysia

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....