Nonlinear stochastic operators to control the consensus problem in multi-agent systems

Nonlinear stochastic operators to control the consensus problem in multi-agent systems

The scope of this research is DSQO in order to generate models that will be applied for the consensus problem in MAS. The majorization concept, stochastic matrix, doubly stochastic matrix and QSO theory are included in this research to build the DSQO. The previous works have focused on the des...

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Main Authors: Abdulghafor, Rawad Abdulkhaleq Abdulmolla, Turaev, Sherzod, Zeki, Akram M.
Format: Book
Language:English
Published: IIUM Press, International Islamic University Malaysia 2017
Subjects:
T Technology (General)
T10.5 Communication of technical information
Online Access:http://irep.iium.edu.my/74131/
http://irep.iium.edu.my/74131/1/74131_Nonlinear%20stochastic%20operators%20to%20control%20the%20consensus%20problem%20in%20multi-agent%20systems.pdf
id iium-74131
recordtype eprints
spelling iium-741312019-10-17T04:05:52Z http://irep.iium.edu.my/74131/ Nonlinear stochastic operators to control the consensus problem in multi-agent systems Abdulghafor, Rawad Abdulkhaleq Abdulmolla Turaev, Sherzod Zeki, Akram M. T Technology (General) T10.5 Communication of technical information The scope of this research is DSQO in order to generate models that will be applied for the consensus problem in MAS. The majorization concept, stochastic matrix, doubly stochastic matrix and QSO theory are included in this research to build the DSQO. The previous works have focused on the design of linear and nonlinear consensus for consensus problem in MAS. In this research, a new paradigm of MAS designs where the linear model and the complex nonlinear are replaced by a flexible (nonlinear model) derived and introduced DSQO model. The distinction between the nonlinear systems and the linear systems is that the nonlinear systems are quite difficult to study and design IIUM Press, International Islamic University Malaysia 2017 Book PeerReviewed application/pdf en http://irep.iium.edu.my/74131/1/74131_Nonlinear%20stochastic%20operators%20to%20control%20the%20consensus%20problem%20in%20multi-agent%20systems.pdf Abdulghafor, Rawad Abdulkhaleq Abdulmolla and Turaev, Sherzod and Zeki, Akram M. (2017) Nonlinear stochastic operators to control the consensus problem in multi-agent systems. 1 . IIUM Press, International Islamic University Malaysia, Kuala Lumpur, Malaysia. ISBN 978-967-418-690-6
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
topic T Technology (General)
T10.5 Communication of technical information
spellingShingle T Technology (General)
T10.5 Communication of technical information
Abdulghafor, Rawad Abdulkhaleq Abdulmolla
Turaev, Sherzod
Zeki, Akram M.
Nonlinear stochastic operators to control the consensus problem in multi-agent systems
description The scope of this research is DSQO in order to generate models that will be applied for the consensus problem in MAS. The majorization concept, stochastic matrix, doubly stochastic matrix and QSO theory are included in this research to build the DSQO. The previous works have focused on the design of linear and nonlinear consensus for consensus problem in MAS. In this research, a new paradigm of MAS designs where the linear model and the complex nonlinear are replaced by a flexible (nonlinear model) derived and introduced DSQO model. The distinction between the nonlinear systems and the linear systems is that the nonlinear systems are quite difficult to study and design
format Book
author Abdulghafor, Rawad Abdulkhaleq Abdulmolla
Turaev, Sherzod
Zeki, Akram M.
author_facet Abdulghafor, Rawad Abdulkhaleq Abdulmolla
Turaev, Sherzod
Zeki, Akram M.
author_sort Abdulghafor, Rawad Abdulkhaleq Abdulmolla
title Nonlinear stochastic operators to control the consensus problem in multi-agent systems
title_short Nonlinear stochastic operators to control the consensus problem in multi-agent systems
title_full Nonlinear stochastic operators to control the consensus problem in multi-agent systems
title_fullStr Nonlinear stochastic operators to control the consensus problem in multi-agent systems
title_full_unstemmed Nonlinear stochastic operators to control the consensus problem in multi-agent systems
title_sort nonlinear stochastic operators to control the consensus problem in multi-agent systems
publisher IIUM Press, International Islamic University Malaysia
publishDate 2017
url http://irep.iium.edu.my/74131/
http://irep.iium.edu.my/74131/1/74131_Nonlinear%20stochastic%20operators%20to%20control%20the%20consensus%20problem%20in%20multi-agent%20systems.pdf
first_indexed 2023-09-18T21:45:01Z
last_indexed 2023-09-18T21:45:01Z
_version_ 1777413391647768576

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