A nonlinear convergence consensus: extreme doubly stochastic quadratic operators for multi-agent systems

• Main Authors: Rawad, Abdulghafor, Almotairi, Sultan, Almohamedh, Hamad, Almutairi, Badr, Bajhzar, Abdullah, Almutairi, d Sulaiman Sulmi
• Format: Article
• Language: English; English
• Published: MDPI 2020
• Subjects: T10.5 Communication of technical information
• Online Access: http://irep.iium.edu.my/84595/7/84595%20A%20Nonlinear%20Convergence%20Consensus.pdf; http://irep.iium.edu.my/84595/8/84595%20A%20Nonlinear%20Convergence%20Consensus%20SCOPUS.pdf; http://irep.iium.edu.my/84595/; https://www.mdpi.com/2073-8994/12/4/540/htm
• Institution: Universiti Islam Antarabangsa Malaysia

We investigate a novel nonlinear consensus from the extreme points of doubly stochastic quadratic operators (EDSQO), based on majorization theory and Markov chains for time-varying multi-agent distributed systems. We describe a dynamic system that has a local interaction network among agents. EDSQO...