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Exponential Consensus of Multi-Agent Systems under Event-Triggered Impulsive Control with Actuation Delays
This paper investigates the exponential consensus problem for a class of nonlinear leader-following multi-agent systems using impulsive control, where impulses are generated by the event-triggered mechanism and are subjected to actuation delays. It is proved that Zeno behavior can be avoided, and by...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10297332/ https://www.ncbi.nlm.nih.gov/pubmed/37372221 http://dx.doi.org/10.3390/e25060877 |
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author | Zhang, Jian Peng, Shiguo |
author_facet | Zhang, Jian Peng, Shiguo |
author_sort | Zhang, Jian |
collection | PubMed |
description | This paper investigates the exponential consensus problem for a class of nonlinear leader-following multi-agent systems using impulsive control, where impulses are generated by the event-triggered mechanism and are subjected to actuation delays. It is proved that Zeno behavior can be avoided, and by employing the linear matrix inequality technique, some sufficient conditions for realizing exponential consensus of the considered system are derived. Actuation delay is an important factor affecting the consensus of the system, and our results show that increasing the actuation delay can enlarge the lower bound of the triggering interval, while it harms the consensus. To demonstrate the validity of the obtained results, a numerical example is provided. |
format | Online Article Text |
id | pubmed-10297332 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-102973322023-06-28 Exponential Consensus of Multi-Agent Systems under Event-Triggered Impulsive Control with Actuation Delays Zhang, Jian Peng, Shiguo Entropy (Basel) Article This paper investigates the exponential consensus problem for a class of nonlinear leader-following multi-agent systems using impulsive control, where impulses are generated by the event-triggered mechanism and are subjected to actuation delays. It is proved that Zeno behavior can be avoided, and by employing the linear matrix inequality technique, some sufficient conditions for realizing exponential consensus of the considered system are derived. Actuation delay is an important factor affecting the consensus of the system, and our results show that increasing the actuation delay can enlarge the lower bound of the triggering interval, while it harms the consensus. To demonstrate the validity of the obtained results, a numerical example is provided. MDPI 2023-05-30 /pmc/articles/PMC10297332/ /pubmed/37372221 http://dx.doi.org/10.3390/e25060877 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Zhang, Jian Peng, Shiguo Exponential Consensus of Multi-Agent Systems under Event-Triggered Impulsive Control with Actuation Delays |
title | Exponential Consensus of Multi-Agent Systems under Event-Triggered Impulsive Control with Actuation Delays |
title_full | Exponential Consensus of Multi-Agent Systems under Event-Triggered Impulsive Control with Actuation Delays |
title_fullStr | Exponential Consensus of Multi-Agent Systems under Event-Triggered Impulsive Control with Actuation Delays |
title_full_unstemmed | Exponential Consensus of Multi-Agent Systems under Event-Triggered Impulsive Control with Actuation Delays |
title_short | Exponential Consensus of Multi-Agent Systems under Event-Triggered Impulsive Control with Actuation Delays |
title_sort | exponential consensus of multi-agent systems under event-triggered impulsive control with actuation delays |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10297332/ https://www.ncbi.nlm.nih.gov/pubmed/37372221 http://dx.doi.org/10.3390/e25060877 |
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