A Nonlinear Convergence Consensus: Extreme Doubly Stochastic Quadratic Operators for Multi-Agent Systems
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...
Main Authors: | Rawad Abdulghafor, Sultan Almotairi, Hamad Almohamedh, Badr Almutairi, Abdullah Bajahzar, Sulaiman Sulmi Almutairi |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-04-01
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Series: | Symmetry |
Subjects: | |
Online Access: | https://www.mdpi.com/2073-8994/12/4/540 |
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