$Consensus of fractional nonlinear dynamics stochastic operators for multiagent systems$

Consensus of fractional nonlinear dynamics stochastic operators for multiagent systems

In this paper, we consider nonlinear models of DeGroot, quadratic stochastic operators (QSO) and doubly stochastic quadratic operators (DSQO) with fractional degree for consensus problem in multi-agent systems (MAS).By the limit behaviour of nonlinear approach, we discuss the convergence of the solu...

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Main Authors:	Abdulghafor, Rawad Abdulkhaleq Abdulmolla, Turaev, Sherzod
Format:	Article
Language:	English English English
Published:	Elsevier 2018
Subjects:	QA Mathematics QA75 Electronic computers. Computer science
Online Access:	http://irep.iium.edu.my/59909/ http://irep.iium.edu.my/59909/ http://irep.iium.edu.my/59909/ http://irep.iium.edu.my/59909/7/59909_Consensus%20of%20fractional%20nonlinear%20dynamics%20stochastic%20operators%20for%20multiagent%20systems_SCOPUS.pdf http://irep.iium.edu.my/59909/13/59909_Consensus%20of%20fractional%20nonlinear%20dynamics.pdf http://irep.iium.edu.my/59909/19/59909_Consensus%20of%20fractional%20nonlinear%20dynamics%20stochastic%20operators_WoS.pdf

id	iium-59909
recordtype	eprints
spelling	iium-599092019-05-23T02:35:11Z http://irep.iium.edu.my/59909/ Consensus of fractional nonlinear dynamics stochastic operators for multiagent systems Abdulghafor, Rawad Abdulkhaleq Abdulmolla Turaev, Sherzod QA Mathematics QA75 Electronic computers. Computer science In this paper, we consider nonlinear models of DeGroot, quadratic stochastic operators (QSO) and doubly stochastic quadratic operators (DSQO) with fractional degree for consensus problem in multi-agent systems (MAS).By the limit behaviour of nonlinear approach, we discuss the convergence of the solutions of the models considered. The findings from the results of the carried out investigation demonstrates an efficient approach to convergence for consensus problem in MAS. The main advantages of the proposed work are i) fast convergence to consensus ii) flexible and low complexity in computation iii) ability to achieve optimal consensus. The study is built on fractional representation of 1/n where n→∞. Further, the simulation results on the related protocols are also presented. Elsevier 2018-11 Article PeerReviewed application/pdf en http://irep.iium.edu.my/59909/7/59909_Consensus%20of%20fractional%20nonlinear%20dynamics%20stochastic%20operators%20for%20multiagent%20systems_SCOPUS.pdf application/pdf en http://irep.iium.edu.my/59909/13/59909_Consensus%20of%20fractional%20nonlinear%20dynamics.pdf application/pdf en http://irep.iium.edu.my/59909/19/59909_Consensus%20of%20fractional%20nonlinear%20dynamics%20stochastic%20operators_WoS.pdf Abdulghafor, Rawad Abdulkhaleq Abdulmolla and Turaev, Sherzod (2018) Consensus of fractional nonlinear dynamics stochastic operators for multiagent systems. Information Fusion, 44. pp. 1-21. ISSN 1566-2535 https://www.sciencedirect.com/science/article/pii/S1566253517302543 10.1016/j.inffus.2017.11.003
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English English
topic	QA Mathematics QA75 Electronic computers. Computer science
spellingShingle	QA Mathematics QA75 Electronic computers. Computer science Abdulghafor, Rawad Abdulkhaleq Abdulmolla Turaev, Sherzod Consensus of fractional nonlinear dynamics stochastic operators for multiagent systems
description	In this paper, we consider nonlinear models of DeGroot, quadratic stochastic operators (QSO) and doubly stochastic quadratic operators (DSQO) with fractional degree for consensus problem in multi-agent systems (MAS).By the limit behaviour of nonlinear approach, we discuss the convergence of the solutions of the models considered. The findings from the results of the carried out investigation demonstrates an efficient approach to convergence for consensus problem in MAS. The main advantages of the proposed work are i) fast convergence to consensus ii) flexible and low complexity in computation iii) ability to achieve optimal consensus. The study is built on fractional representation of 1/n where n→∞. Further, the simulation results on the related protocols are also presented.
format	Article
author	Abdulghafor, Rawad Abdulkhaleq Abdulmolla Turaev, Sherzod
author_facet	Abdulghafor, Rawad Abdulkhaleq Abdulmolla Turaev, Sherzod
author_sort	Abdulghafor, Rawad Abdulkhaleq Abdulmolla
title	Consensus of fractional nonlinear dynamics stochastic operators for multiagent systems
title_short	Consensus of fractional nonlinear dynamics stochastic operators for multiagent systems
title_full	Consensus of fractional nonlinear dynamics stochastic operators for multiagent systems
title_fullStr	Consensus of fractional nonlinear dynamics stochastic operators for multiagent systems
title_full_unstemmed	Consensus of fractional nonlinear dynamics stochastic operators for multiagent systems
title_sort	consensus of fractional nonlinear dynamics stochastic operators for multiagent systems
publisher	Elsevier
publishDate	2018
url	http://irep.iium.edu.my/59909/ http://irep.iium.edu.my/59909/ http://irep.iium.edu.my/59909/ http://irep.iium.edu.my/59909/7/59909_Consensus%20of%20fractional%20nonlinear%20dynamics%20stochastic%20operators%20for%20multiagent%20systems_SCOPUS.pdf http://irep.iium.edu.my/59909/13/59909_Consensus%20of%20fractional%20nonlinear%20dynamics.pdf http://irep.iium.edu.my/59909/19/59909_Consensus%20of%20fractional%20nonlinear%20dynamics%20stochastic%20operators_WoS.pdf
first_indexed	2023-09-18T21:24:55Z
last_indexed	2023-09-18T21:24:55Z
_version_	1777412127733055488

Consensus of fractional nonlinear dynamics stochastic operators for multiagent systems

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