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....
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English English English |
| Published: |
De Gruyter
2018
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/59266/ http://irep.iium.edu.my/59266/ 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 |
Internet
http://irep.iium.edu.my/59266/http://irep.iium.edu.my/59266/
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