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,...
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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 |
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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 |
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1777413634502164480 |