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...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | en en |
| Published: |
MDPI
2020
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| Subjects: | |
| 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 |
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