Leader-following consensus for fractional multi-agent systems

Bibliographic Details
Main Author: Almeida, Ricardo
Publication Date: 2019
Other Authors: Girejko, Ewa, Hristova, Snezhana, Malinowska, Agnieszka B.
Format: Article
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10773/26387
Summary: A leader-following consensus for Caputo fractional multi-agent systems with nonlinear intrinsic dynamics is investigated. The second Lyapunov method is used to design a control protocol ensuring a consensus for two types of multi-agent systems. Contrary to the previous studies on leader-following consensus, the investigation covers systems with bounded and unbounded time-dependent Lipschitz coefficients in the intrinsic dynamics. Moreover, coupling strength describing the interactions between agents is considered to be a function of time.
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spelling Leader-following consensus for fractional multi-agent systemsMulti-agent networksNonlinear fractional neural systemsLyapunov functionStabilityA leader-following consensus for Caputo fractional multi-agent systems with nonlinear intrinsic dynamics is investigated. The second Lyapunov method is used to design a control protocol ensuring a consensus for two types of multi-agent systems. Contrary to the previous studies on leader-following consensus, the investigation covers systems with bounded and unbounded time-dependent Lipschitz coefficients in the intrinsic dynamics. Moreover, coupling strength describing the interactions between agents is considered to be a function of time.SpringerOpen2019-08-06T09:00:13Z2019-07-24T00:00:00Z2019-07-24info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10773/26387eng1687-183910.1186/s13662-019-2235-9Almeida, RicardoGirejko, EwaHristova, SnezhanaMalinowska, Agnieszka B.info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-05-06T04:21:11Zoai:ria.ua.pt:10773/26387Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T14:05:32.472800Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Leader-following consensus for fractional multi-agent systems
title Leader-following consensus for fractional multi-agent systems
spellingShingle Leader-following consensus for fractional multi-agent systems
Almeida, Ricardo
Multi-agent networks
Nonlinear fractional neural systems
Lyapunov function
Stability
title_short Leader-following consensus for fractional multi-agent systems
title_full Leader-following consensus for fractional multi-agent systems
title_fullStr Leader-following consensus for fractional multi-agent systems
title_full_unstemmed Leader-following consensus for fractional multi-agent systems
title_sort Leader-following consensus for fractional multi-agent systems
author Almeida, Ricardo
author_facet Almeida, Ricardo
Girejko, Ewa
Hristova, Snezhana
Malinowska, Agnieszka B.
author_role author
author2 Girejko, Ewa
Hristova, Snezhana
Malinowska, Agnieszka B.
author2_role author
author
author
dc.contributor.author.fl_str_mv Almeida, Ricardo
Girejko, Ewa
Hristova, Snezhana
Malinowska, Agnieszka B.
dc.subject.por.fl_str_mv Multi-agent networks
Nonlinear fractional neural systems
Lyapunov function
Stability
topic Multi-agent networks
Nonlinear fractional neural systems
Lyapunov function
Stability
description A leader-following consensus for Caputo fractional multi-agent systems with nonlinear intrinsic dynamics is investigated. The second Lyapunov method is used to design a control protocol ensuring a consensus for two types of multi-agent systems. Contrary to the previous studies on leader-following consensus, the investigation covers systems with bounded and unbounded time-dependent Lipschitz coefficients in the intrinsic dynamics. Moreover, coupling strength describing the interactions between agents is considered to be a function of time.
publishDate 2019
dc.date.none.fl_str_mv 2019-08-06T09:00:13Z
2019-07-24T00:00:00Z
2019-07-24
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10773/26387
url http://hdl.handle.net/10773/26387
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1687-1839
10.1186/s13662-019-2235-9
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