Reaching a consensus in multi-agent systems: a nonlinear protocol

Multi-Agent Systems (MAS) give a complete description for large-scale systems consisting of small subunits, called agents. The behavior of MAS is particularly interesting because the agents may fulfill certain tasks as a group, even in the individual agent does not know about the overall task. MAS h...

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Main Authors:	Saburov, Mansoor, Yusof, Nur Atikah
Format:	Conference or Workshop Item
Language:	English English
Published:	2014
Subjects:	QA Mathematics
Online Access:	http://irep.iium.edu.my/39877/ http://irep.iium.edu.my/39877/ http://irep.iium.edu.my/39877/4/IRIIE-2014.pdf http://irep.iium.edu.my/39877/5/ID_3_--_Dr_Mansoor_Saburov.pdf

id	iium-39877
recordtype	eprints
spelling	iium-398772018-06-19T08:05:36Z http://irep.iium.edu.my/39877/ Reaching a consensus in multi-agent systems: a nonlinear protocol Saburov, Mansoor Yusof, Nur Atikah QA Mathematics Multi-Agent Systems (MAS) give a complete description for large-scale systems consisting of small subunits, called agents. The behavior of MAS is particularly interesting because the agents may fulfill certain tasks as a group, even in the individual agent does not know about the overall task. MAS have attracted more and more interest in recent years. A lot of examples come from nature, such as schooling fishes or fireflies flashing in unison. A collective behavior is also interesting for engineers when solving problems such as flocking or synchronization. This is mainly due to its important applications, including the cooperative control of unmanned air vehicles (UAVs), autonomous underwater vehicles, congestion control in communication networks, swarms of autonomous vehicles or robots, autonomous formation fight, etc. In all cases the goal is to control a group of agents connected through a communication network to reach an agreement on certain quantities of interest. This problem is called the consensus problem. Most researches in the study of discrete-time MAS, presented in the past few years, have considered linear cooperative rules. However, local interactions between agents are more likely to be governed by nonlinear rules. In this poster, we investigate the consensus of discrete-time MAS with time invariant/varying nonlinear cooperative rules. Based on our presented nonlinear model, we show a consensus in the discrete-time MAS. Our model generalizes a classical time invariant DeGroot model. It seems that, unlike a linear case, a consensus can be easily achieved a nonlinear case. 2014-06-11 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/39877/4/IRIIE-2014.pdf application/pdf en http://irep.iium.edu.my/39877/5/ID_3_--_Dr_Mansoor_Saburov.pdf Saburov, Mansoor and Yusof, Nur Atikah (2014) Reaching a consensus in multi-agent systems: a nonlinear protocol. In: International Research, Invention and Innovation Exhibition 2014 (IRIIE2014), 11-12 Jun 2014, Gombak, Kuala Lumpur. http://www.iium.edu.my/irie/14/
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	QA Mathematics
spellingShingle	QA Mathematics Saburov, Mansoor Yusof, Nur Atikah Reaching a consensus in multi-agent systems: a nonlinear protocol
description	Multi-Agent Systems (MAS) give a complete description for large-scale systems consisting of small subunits, called agents. The behavior of MAS is particularly interesting because the agents may fulfill certain tasks as a group, even in the individual agent does not know about the overall task. MAS have attracted more and more interest in recent years. A lot of examples come from nature, such as schooling fishes or fireflies flashing in unison. A collective behavior is also interesting for engineers when solving problems such as flocking or synchronization. This is mainly due to its important applications, including the cooperative control of unmanned air vehicles (UAVs), autonomous underwater vehicles, congestion control in communication networks, swarms of autonomous vehicles or robots, autonomous formation fight, etc. In all cases the goal is to control a group of agents connected through a communication network to reach an agreement on certain quantities of interest. This problem is called the consensus problem. Most researches in the study of discrete-time MAS, presented in the past few years, have considered linear cooperative rules. However, local interactions between agents are more likely to be governed by nonlinear rules. In this poster, we investigate the consensus of discrete-time MAS with time invariant/varying nonlinear cooperative rules. Based on our presented nonlinear model, we show a consensus in the discrete-time MAS. Our model generalizes a classical time invariant DeGroot model. It seems that, unlike a linear case, a consensus can be easily achieved a nonlinear case.
format	Conference or Workshop Item
author	Saburov, Mansoor Yusof, Nur Atikah
author_facet	Saburov, Mansoor Yusof, Nur Atikah
author_sort	Saburov, Mansoor
title	Reaching a consensus in multi-agent systems: a nonlinear protocol
title_short	Reaching a consensus in multi-agent systems: a nonlinear protocol
title_full	Reaching a consensus in multi-agent systems: a nonlinear protocol
title_fullStr	Reaching a consensus in multi-agent systems: a nonlinear protocol
title_full_unstemmed	Reaching a consensus in multi-agent systems: a nonlinear protocol
title_sort	reaching a consensus in multi-agent systems: a nonlinear protocol
publishDate	2014
url	http://irep.iium.edu.my/39877/ http://irep.iium.edu.my/39877/ http://irep.iium.edu.my/39877/4/IRIIE-2014.pdf http://irep.iium.edu.my/39877/5/ID_3_--_Dr_Mansoor_Saburov.pdf
first_indexed	2023-09-18T20:57:15Z
last_indexed	2023-09-18T20:57:15Z
_version_	1777410386405883904

Reaching a consensus in multi-agent systems: a nonlinear protocol

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