Robust Leader-Following Consensus of High-Order Multi-Agent Systems in Prescribed Time

This article addresses the distributed prescribed-time leader-following consensus problem for a class of high-order multi-agent systems (MASs) with perturbed nonlinear agents dynamics and where the topology of the network contains a directed spanning tree, with the leader as the root. Prescribed-tim...

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Main Authors: J. Armando Colunga, Hector Manuel Becerra, Carlos Renato Vazquez, David Gomez-Gutierrez
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9239942/
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spelling doaj-82e19555b98444ce8c355f2c39c033892021-03-30T03:40:27ZengIEEEIEEE Access2169-35362020-01-01819517019518310.1109/ACCESS.2020.30337899239942Robust Leader-Following Consensus of High-Order Multi-Agent Systems in Prescribed TimeJ. Armando Colunga0https://orcid.org/0000-0002-9159-9332Hector Manuel Becerra1https://orcid.org/0000-0002-2977-6860Carlos Renato Vazquez2David Gomez-Gutierrez3https://orcid.org/0000-0002-2113-3369Centro de Investigación en Matemáticas (CIMAT), Guanajuato, MexicoCentro de Investigación en Matemáticas (CIMAT), Guanajuato, MexicoEscuela de Ingeniería y Ciencias, Tecnológico de Monterrey, Zapopan, MexicoEscuela de Ingeniería y Ciencias, Tecnológico de Monterrey, Zapopan, MexicoThis article addresses the distributed prescribed-time leader-following consensus problem for a class of high-order multi-agent systems (MASs) with perturbed nonlinear agents dynamics and where the topology of the network contains a directed spanning tree, with the leader as the root. Prescribed-time consensus means that an agreement state of the MAS is achieved in a preset time, introduced as a parameter of the control law, and this constant settling time is achieved independently of the agents' initial state. The proposed control method exhibits three main advantages: first, to our best knowledge, it is the first time that prescribed-time convergence in a consensus problem is achieved for agents with high-order nonlinear dynamics, using a robust leader-following protocol, which allows an effective rejection of matched disturbances in the agents' model. Second, the proposed controller provides control signals of lower magnitude than existing approaches. Third, the proposed consensus protocol does not have parameters to be adjusted depending on the connectivity of the considered communication graph.https://ieeexplore.ieee.org/document/9239942/Multi-agent systemsdistributed protocolhigh-order systemsprescribed-time consensustime base generators (TBGs)
collection DOAJ
language English
format Article
sources DOAJ
author J. Armando Colunga
Hector Manuel Becerra
Carlos Renato Vazquez
David Gomez-Gutierrez
spellingShingle J. Armando Colunga
Hector Manuel Becerra
Carlos Renato Vazquez
David Gomez-Gutierrez
Robust Leader-Following Consensus of High-Order Multi-Agent Systems in Prescribed Time
IEEE Access
Multi-agent systems
distributed protocol
high-order systems
prescribed-time consensus
time base generators (TBGs)
author_facet J. Armando Colunga
Hector Manuel Becerra
Carlos Renato Vazquez
David Gomez-Gutierrez
author_sort J. Armando Colunga
title Robust Leader-Following Consensus of High-Order Multi-Agent Systems in Prescribed Time
title_short Robust Leader-Following Consensus of High-Order Multi-Agent Systems in Prescribed Time
title_full Robust Leader-Following Consensus of High-Order Multi-Agent Systems in Prescribed Time
title_fullStr Robust Leader-Following Consensus of High-Order Multi-Agent Systems in Prescribed Time
title_full_unstemmed Robust Leader-Following Consensus of High-Order Multi-Agent Systems in Prescribed Time
title_sort robust leader-following consensus of high-order multi-agent systems in prescribed time
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2020-01-01
description This article addresses the distributed prescribed-time leader-following consensus problem for a class of high-order multi-agent systems (MASs) with perturbed nonlinear agents dynamics and where the topology of the network contains a directed spanning tree, with the leader as the root. Prescribed-time consensus means that an agreement state of the MAS is achieved in a preset time, introduced as a parameter of the control law, and this constant settling time is achieved independently of the agents' initial state. The proposed control method exhibits three main advantages: first, to our best knowledge, it is the first time that prescribed-time convergence in a consensus problem is achieved for agents with high-order nonlinear dynamics, using a robust leader-following protocol, which allows an effective rejection of matched disturbances in the agents' model. Second, the proposed controller provides control signals of lower magnitude than existing approaches. Third, the proposed consensus protocol does not have parameters to be adjusted depending on the connectivity of the considered communication graph.
topic Multi-agent systems
distributed protocol
high-order systems
prescribed-time consensus
time base generators (TBGs)
url https://ieeexplore.ieee.org/document/9239942/
work_keys_str_mv AT jarmandocolunga robustleaderfollowingconsensusofhighordermultiagentsystemsinprescribedtime
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AT carlosrenatovazquez robustleaderfollowingconsensusofhighordermultiagentsystemsinprescribedtime
AT davidgomezgutierrez robustleaderfollowingconsensusofhighordermultiagentsystemsinprescribedtime
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