Nonlinear consensus protocol modified from doubly stochastic quadratic operators in networks of dynamic agents

This article explores nonlinear convergence to limit the effects of the consensus problem that usually occurs in multi-agent systems. Most of the existing research essentially considers the outline of linear protocols, using complex mathematical equations in various orders. In this work, however,...

Full description

Bibliographic Details
Main Authors: Abdulghafor, Rawad Abdulkhaleq Abdulmolla, Almotair, Sultan, Almohamedh, Hamad, Turaev, Sherzod, Almutair, Badr
Format: Article
Language:English
English
English
Published: MDPI 2019
Subjects:
Online Access:http://irep.iium.edu.my/77159/
http://irep.iium.edu.my/77159/
http://irep.iium.edu.my/77159/
http://irep.iium.edu.my/77159/1/abdulghafor2019MDSQO.pdf
http://irep.iium.edu.my/77159/7/77159_Nonlinear%20consensus%20protocol%20modified_scopus.pdf
http://irep.iium.edu.my/77159/8/77159_Nonlinear%20consensus%20protocol%20modified_wos.pdf
id iium-77159
recordtype eprints
spelling iium-771592020-03-17T01:50:05Z http://irep.iium.edu.my/77159/ Nonlinear consensus protocol modified from doubly stochastic quadratic operators in networks of dynamic agents Abdulghafor, Rawad Abdulkhaleq Abdulmolla Almotair, Sultan Almohamedh, Hamad Turaev, Sherzod Almutair, Badr T10.5 Communication of technical information This article explores nonlinear convergence to limit the effects of the consensus problem that usually occurs in multi-agent systems. Most of the existing research essentially considers the outline of linear protocols, using complex mathematical equations in various orders. In this work, however, we designed and developed an alternative nonlinear protocol based on simple and effective mathematical approaches. The designed protocol in this sense was modified from the Doubly Stochastic Quadratic Operators (DSQO) and was aimed at resolving consensus problems. Therefore, we called it Modified Doubly Stochastic Quadratic Operators (MDSQO). The protocol was derived in the context of coordinated systems to overcome the consensus issue related to multiagent systems. In the process, we proved that by using the proposed nonlinear protocol, the consensus could be reached via a common agreement among the agents (average consensus) in a fast and easy fashion without losing any initial status. Moreover, the investigated nonlinear protocol of MDSQO realized the reaching consensus always as well as DSQO in some cases, which could not reach consensus. Finally, simulation results were given to prove the validity of the theoretical analysis. MDPI 2019-12-15 Article PeerReviewed application/pdf en http://irep.iium.edu.my/77159/1/abdulghafor2019MDSQO.pdf application/pdf en http://irep.iium.edu.my/77159/7/77159_Nonlinear%20consensus%20protocol%20modified_scopus.pdf application/pdf en http://irep.iium.edu.my/77159/8/77159_Nonlinear%20consensus%20protocol%20modified_wos.pdf Abdulghafor, Rawad Abdulkhaleq Abdulmolla and Almotair, Sultan and Almohamedh, Hamad and Turaev, Sherzod and Almutair, Badr (2019) Nonlinear consensus protocol modified from doubly stochastic quadratic operators in networks of dynamic agents. Symmetry, 11 (12). pp. 1-22. E-ISSN 2073-8994 https://www.mdpi.com/2073-8994/11/12/1519 10.3390/sym11121519
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
English
English
topic T10.5 Communication of technical information
spellingShingle T10.5 Communication of technical information
Abdulghafor, Rawad Abdulkhaleq Abdulmolla
Almotair, Sultan
Almohamedh, Hamad
Turaev, Sherzod
Almutair, Badr
Nonlinear consensus protocol modified from doubly stochastic quadratic operators in networks of dynamic agents
description This article explores nonlinear convergence to limit the effects of the consensus problem that usually occurs in multi-agent systems. Most of the existing research essentially considers the outline of linear protocols, using complex mathematical equations in various orders. In this work, however, we designed and developed an alternative nonlinear protocol based on simple and effective mathematical approaches. The designed protocol in this sense was modified from the Doubly Stochastic Quadratic Operators (DSQO) and was aimed at resolving consensus problems. Therefore, we called it Modified Doubly Stochastic Quadratic Operators (MDSQO). The protocol was derived in the context of coordinated systems to overcome the consensus issue related to multiagent systems. In the process, we proved that by using the proposed nonlinear protocol, the consensus could be reached via a common agreement among the agents (average consensus) in a fast and easy fashion without losing any initial status. Moreover, the investigated nonlinear protocol of MDSQO realized the reaching consensus always as well as DSQO in some cases, which could not reach consensus. Finally, simulation results were given to prove the validity of the theoretical analysis.
format Article
author Abdulghafor, Rawad Abdulkhaleq Abdulmolla
Almotair, Sultan
Almohamedh, Hamad
Turaev, Sherzod
Almutair, Badr
author_facet Abdulghafor, Rawad Abdulkhaleq Abdulmolla
Almotair, Sultan
Almohamedh, Hamad
Turaev, Sherzod
Almutair, Badr
author_sort Abdulghafor, Rawad Abdulkhaleq Abdulmolla
title Nonlinear consensus protocol modified from doubly stochastic quadratic operators in networks of dynamic agents
title_short Nonlinear consensus protocol modified from doubly stochastic quadratic operators in networks of dynamic agents
title_full Nonlinear consensus protocol modified from doubly stochastic quadratic operators in networks of dynamic agents
title_fullStr Nonlinear consensus protocol modified from doubly stochastic quadratic operators in networks of dynamic agents
title_full_unstemmed Nonlinear consensus protocol modified from doubly stochastic quadratic operators in networks of dynamic agents
title_sort nonlinear consensus protocol modified from doubly stochastic quadratic operators in networks of dynamic agents
publisher MDPI
publishDate 2019
url http://irep.iium.edu.my/77159/
http://irep.iium.edu.my/77159/
http://irep.iium.edu.my/77159/
http://irep.iium.edu.my/77159/1/abdulghafor2019MDSQO.pdf
http://irep.iium.edu.my/77159/7/77159_Nonlinear%20consensus%20protocol%20modified_scopus.pdf
http://irep.iium.edu.my/77159/8/77159_Nonlinear%20consensus%20protocol%20modified_wos.pdf
first_indexed 2023-09-18T21:48:52Z
last_indexed 2023-09-18T21:48:52Z
_version_ 1777413634502164480