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
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Abstract
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.
Item Type: | Article (Journal) |
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Additional Information: | 8638/77159 |
Uncontrolled Keywords: | Nonlinear protocol; consensus problem; multi-agent systems; doubly stochastic quadratic operators; average consensus |
Subjects: | T Technology > T Technology (General) > T10.5 Communication of technical information |
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): | Kulliyyah of Information and Communication Technology Kulliyyah of Information and Communication Technology Kulliyyah of Information and Communication Technology > Department of Computer Science Kulliyyah of Information and Communication Technology > Department of Computer Science |
Depositing User: | Dr. Rawad Abdulghafor |
Date Deposited: | 18 Dec 2019 09:27 |
Last Modified: | 17 Mar 2020 09:50 |
URI: | http://irep.iium.edu.my/id/eprint/77159 |
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