Adaptive Consensus of Nonlinear MASs with Event-triggered Updating Algorithm
Abstract This paper investigates the consensus problem for a class of nonlinear leader-follower multi-agent systems with event-triggered updating algorithm. Unlike the most existing event-triggered control protocols, the controllers and parameter update laws are event-triggered and transmitted simul...
Ausführliche Beschreibung
Autor*in: |
Yi, Jiale [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2023 |
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Schlagwörter: |
composite event-triggered condition |
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Anmerkung: |
© ICROS, KIEE and Springer 2023 |
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Übergeordnetes Werk: |
Enthalten in: International Journal of Control, Automation and Systems - Institute of Control, Robotics and Systems and The Korean Institute of Electrical Engineers, 2009, 21(2023), 2 vom: 30. Jan., Seite 389-399 |
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Übergeordnetes Werk: |
volume:21 ; year:2023 ; number:2 ; day:30 ; month:01 ; pages:389-399 |
Links: |
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DOI / URN: |
10.1007/s12555-021-0909-z |
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Katalog-ID: |
SPR05140205X |
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520 | |a Abstract This paper investigates the consensus problem for a class of nonlinear leader-follower multi-agent systems with event-triggered updating algorithm. Unlike the most existing event-triggered control protocols, the controllers and parameter update laws are event-triggered and transmitted simultaneously by a composite event-triggered condition. An exponential term of consensus errors is constructed novelly in the event-triggered condition to exclude Zeno behavior and decrease the number of events. Moreover, the stability of the closed-loop system is proved by using the Lyapunov stability theory. At the same time, all the signals in the closed-loop systems are globally bounded and the consensus errors converge to a small neighborhood of origin exponentially under the proposed control schemes. Finally, numerical simulation results illustrate the effectiveness of the proposed control schemes. | ||
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700 | 1 | |a Li, Xiaobo |4 aut | |
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10.1007/s12555-021-0909-z doi (DE-627)SPR05140205X (SPR)s12555-021-0909-z-e DE-627 ger DE-627 rakwb eng Yi, Jiale verfasserin (orcid)0000-0002-4372-4979 aut Adaptive Consensus of Nonlinear MASs with Event-triggered Updating Algorithm 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © ICROS, KIEE and Springer 2023 Abstract This paper investigates the consensus problem for a class of nonlinear leader-follower multi-agent systems with event-triggered updating algorithm. Unlike the most existing event-triggered control protocols, the controllers and parameter update laws are event-triggered and transmitted simultaneously by a composite event-triggered condition. An exponential term of consensus errors is constructed novelly in the event-triggered condition to exclude Zeno behavior and decrease the number of events. Moreover, the stability of the closed-loop system is proved by using the Lyapunov stability theory. At the same time, all the signals in the closed-loop systems are globally bounded and the consensus errors converge to a small neighborhood of origin exponentially under the proposed control schemes. Finally, numerical simulation results illustrate the effectiveness of the proposed control schemes. Adaptive consensus (dpeaa)DE-He213 composite event-triggered condition (dpeaa)DE-He213 event-triggered parameter estimator (dpeaa)DE-He213 nonlinear multi-agent systems (dpeaa)DE-He213 Zeno-free (dpeaa)DE-He213 Li, Jing (orcid)0000-0003-3668-1162 aut Zhang, Zhaohui (orcid)0000-0003-3041-7600 aut Li, Xiaobo aut Enthalten in International Journal of Control, Automation and Systems Institute of Control, Robotics and Systems and The Korean Institute of Electrical Engineers, 2009 21(2023), 2 vom: 30. Jan., Seite 389-399 (DE-627)SPR026303256 nnns volume:21 year:2023 number:2 day:30 month:01 pages:389-399 https://dx.doi.org/10.1007/s12555-021-0909-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_21 GBV_ILN_24 GBV_ILN_72 GBV_ILN_181 GBV_ILN_496 GBV_ILN_2002 GBV_ILN_2003 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2060 GBV_ILN_2470 AR 21 2023 2 30 01 389-399 |
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10.1007/s12555-021-0909-z doi (DE-627)SPR05140205X (SPR)s12555-021-0909-z-e DE-627 ger DE-627 rakwb eng Yi, Jiale verfasserin (orcid)0000-0002-4372-4979 aut Adaptive Consensus of Nonlinear MASs with Event-triggered Updating Algorithm 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © ICROS, KIEE and Springer 2023 Abstract This paper investigates the consensus problem for a class of nonlinear leader-follower multi-agent systems with event-triggered updating algorithm. Unlike the most existing event-triggered control protocols, the controllers and parameter update laws are event-triggered and transmitted simultaneously by a composite event-triggered condition. An exponential term of consensus errors is constructed novelly in the event-triggered condition to exclude Zeno behavior and decrease the number of events. Moreover, the stability of the closed-loop system is proved by using the Lyapunov stability theory. At the same time, all the signals in the closed-loop systems are globally bounded and the consensus errors converge to a small neighborhood of origin exponentially under the proposed control schemes. Finally, numerical simulation results illustrate the effectiveness of the proposed control schemes. Adaptive consensus (dpeaa)DE-He213 composite event-triggered condition (dpeaa)DE-He213 event-triggered parameter estimator (dpeaa)DE-He213 nonlinear multi-agent systems (dpeaa)DE-He213 Zeno-free (dpeaa)DE-He213 Li, Jing (orcid)0000-0003-3668-1162 aut Zhang, Zhaohui (orcid)0000-0003-3041-7600 aut Li, Xiaobo aut Enthalten in International Journal of Control, Automation and Systems Institute of Control, Robotics and Systems and The Korean Institute of Electrical Engineers, 2009 21(2023), 2 vom: 30. Jan., Seite 389-399 (DE-627)SPR026303256 nnns volume:21 year:2023 number:2 day:30 month:01 pages:389-399 https://dx.doi.org/10.1007/s12555-021-0909-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_21 GBV_ILN_24 GBV_ILN_72 GBV_ILN_181 GBV_ILN_496 GBV_ILN_2002 GBV_ILN_2003 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2060 GBV_ILN_2470 AR 21 2023 2 30 01 389-399 |
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10.1007/s12555-021-0909-z doi (DE-627)SPR05140205X (SPR)s12555-021-0909-z-e DE-627 ger DE-627 rakwb eng Yi, Jiale verfasserin (orcid)0000-0002-4372-4979 aut Adaptive Consensus of Nonlinear MASs with Event-triggered Updating Algorithm 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © ICROS, KIEE and Springer 2023 Abstract This paper investigates the consensus problem for a class of nonlinear leader-follower multi-agent systems with event-triggered updating algorithm. Unlike the most existing event-triggered control protocols, the controllers and parameter update laws are event-triggered and transmitted simultaneously by a composite event-triggered condition. An exponential term of consensus errors is constructed novelly in the event-triggered condition to exclude Zeno behavior and decrease the number of events. Moreover, the stability of the closed-loop system is proved by using the Lyapunov stability theory. At the same time, all the signals in the closed-loop systems are globally bounded and the consensus errors converge to a small neighborhood of origin exponentially under the proposed control schemes. Finally, numerical simulation results illustrate the effectiveness of the proposed control schemes. Adaptive consensus (dpeaa)DE-He213 composite event-triggered condition (dpeaa)DE-He213 event-triggered parameter estimator (dpeaa)DE-He213 nonlinear multi-agent systems (dpeaa)DE-He213 Zeno-free (dpeaa)DE-He213 Li, Jing (orcid)0000-0003-3668-1162 aut Zhang, Zhaohui (orcid)0000-0003-3041-7600 aut Li, Xiaobo aut Enthalten in International Journal of Control, Automation and Systems Institute of Control, Robotics and Systems and The Korean Institute of Electrical Engineers, 2009 21(2023), 2 vom: 30. Jan., Seite 389-399 (DE-627)SPR026303256 nnns volume:21 year:2023 number:2 day:30 month:01 pages:389-399 https://dx.doi.org/10.1007/s12555-021-0909-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_21 GBV_ILN_24 GBV_ILN_72 GBV_ILN_181 GBV_ILN_496 GBV_ILN_2002 GBV_ILN_2003 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2060 GBV_ILN_2470 AR 21 2023 2 30 01 389-399 |
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10.1007/s12555-021-0909-z doi (DE-627)SPR05140205X (SPR)s12555-021-0909-z-e DE-627 ger DE-627 rakwb eng Yi, Jiale verfasserin (orcid)0000-0002-4372-4979 aut Adaptive Consensus of Nonlinear MASs with Event-triggered Updating Algorithm 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © ICROS, KIEE and Springer 2023 Abstract This paper investigates the consensus problem for a class of nonlinear leader-follower multi-agent systems with event-triggered updating algorithm. Unlike the most existing event-triggered control protocols, the controllers and parameter update laws are event-triggered and transmitted simultaneously by a composite event-triggered condition. An exponential term of consensus errors is constructed novelly in the event-triggered condition to exclude Zeno behavior and decrease the number of events. Moreover, the stability of the closed-loop system is proved by using the Lyapunov stability theory. At the same time, all the signals in the closed-loop systems are globally bounded and the consensus errors converge to a small neighborhood of origin exponentially under the proposed control schemes. Finally, numerical simulation results illustrate the effectiveness of the proposed control schemes. Adaptive consensus (dpeaa)DE-He213 composite event-triggered condition (dpeaa)DE-He213 event-triggered parameter estimator (dpeaa)DE-He213 nonlinear multi-agent systems (dpeaa)DE-He213 Zeno-free (dpeaa)DE-He213 Li, Jing (orcid)0000-0003-3668-1162 aut Zhang, Zhaohui (orcid)0000-0003-3041-7600 aut Li, Xiaobo aut Enthalten in International Journal of Control, Automation and Systems Institute of Control, Robotics and Systems and The Korean Institute of Electrical Engineers, 2009 21(2023), 2 vom: 30. Jan., Seite 389-399 (DE-627)SPR026303256 nnns volume:21 year:2023 number:2 day:30 month:01 pages:389-399 https://dx.doi.org/10.1007/s12555-021-0909-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_21 GBV_ILN_24 GBV_ILN_72 GBV_ILN_181 GBV_ILN_496 GBV_ILN_2002 GBV_ILN_2003 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2060 GBV_ILN_2470 AR 21 2023 2 30 01 389-399 |
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10.1007/s12555-021-0909-z doi (DE-627)SPR05140205X (SPR)s12555-021-0909-z-e DE-627 ger DE-627 rakwb eng Yi, Jiale verfasserin (orcid)0000-0002-4372-4979 aut Adaptive Consensus of Nonlinear MASs with Event-triggered Updating Algorithm 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © ICROS, KIEE and Springer 2023 Abstract This paper investigates the consensus problem for a class of nonlinear leader-follower multi-agent systems with event-triggered updating algorithm. Unlike the most existing event-triggered control protocols, the controllers and parameter update laws are event-triggered and transmitted simultaneously by a composite event-triggered condition. An exponential term of consensus errors is constructed novelly in the event-triggered condition to exclude Zeno behavior and decrease the number of events. Moreover, the stability of the closed-loop system is proved by using the Lyapunov stability theory. At the same time, all the signals in the closed-loop systems are globally bounded and the consensus errors converge to a small neighborhood of origin exponentially under the proposed control schemes. Finally, numerical simulation results illustrate the effectiveness of the proposed control schemes. Adaptive consensus (dpeaa)DE-He213 composite event-triggered condition (dpeaa)DE-He213 event-triggered parameter estimator (dpeaa)DE-He213 nonlinear multi-agent systems (dpeaa)DE-He213 Zeno-free (dpeaa)DE-He213 Li, Jing (orcid)0000-0003-3668-1162 aut Zhang, Zhaohui (orcid)0000-0003-3041-7600 aut Li, Xiaobo aut Enthalten in International Journal of Control, Automation and Systems Institute of Control, Robotics and Systems and The Korean Institute of Electrical Engineers, 2009 21(2023), 2 vom: 30. Jan., Seite 389-399 (DE-627)SPR026303256 nnns volume:21 year:2023 number:2 day:30 month:01 pages:389-399 https://dx.doi.org/10.1007/s12555-021-0909-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_21 GBV_ILN_24 GBV_ILN_72 GBV_ILN_181 GBV_ILN_496 GBV_ILN_2002 GBV_ILN_2003 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2060 GBV_ILN_2470 AR 21 2023 2 30 01 389-399 |
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Adaptive Consensus of Nonlinear MASs with Event-triggered Updating Algorithm |
ctrlnum |
(DE-627)SPR05140205X (SPR)s12555-021-0909-z-e |
title_full |
Adaptive Consensus of Nonlinear MASs with Event-triggered Updating Algorithm |
author_sort |
Yi, Jiale |
journal |
International Journal of Control, Automation and Systems |
journalStr |
International Journal of Control, Automation and Systems |
lang_code |
eng |
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false |
recordtype |
marc |
publishDateSort |
2023 |
contenttype_str_mv |
txt |
container_start_page |
389 |
author_browse |
Yi, Jiale Li, Jing Zhang, Zhaohui Li, Xiaobo |
container_volume |
21 |
format_se |
Elektronische Aufsätze |
author-letter |
Yi, Jiale |
doi_str_mv |
10.1007/s12555-021-0909-z |
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(ORCID)0000-0002-4372-4979 (ORCID)0000-0003-3668-1162 (ORCID)0000-0003-3041-7600 |
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(orcid)0000-0002-4372-4979 (orcid)0000-0003-3668-1162 (orcid)0000-0003-3041-7600 |
title_sort |
adaptive consensus of nonlinear mass with event-triggered updating algorithm |
title_auth |
Adaptive Consensus of Nonlinear MASs with Event-triggered Updating Algorithm |
abstract |
Abstract This paper investigates the consensus problem for a class of nonlinear leader-follower multi-agent systems with event-triggered updating algorithm. Unlike the most existing event-triggered control protocols, the controllers and parameter update laws are event-triggered and transmitted simultaneously by a composite event-triggered condition. An exponential term of consensus errors is constructed novelly in the event-triggered condition to exclude Zeno behavior and decrease the number of events. Moreover, the stability of the closed-loop system is proved by using the Lyapunov stability theory. At the same time, all the signals in the closed-loop systems are globally bounded and the consensus errors converge to a small neighborhood of origin exponentially under the proposed control schemes. Finally, numerical simulation results illustrate the effectiveness of the proposed control schemes. © ICROS, KIEE and Springer 2023 |
abstractGer |
Abstract This paper investigates the consensus problem for a class of nonlinear leader-follower multi-agent systems with event-triggered updating algorithm. Unlike the most existing event-triggered control protocols, the controllers and parameter update laws are event-triggered and transmitted simultaneously by a composite event-triggered condition. An exponential term of consensus errors is constructed novelly in the event-triggered condition to exclude Zeno behavior and decrease the number of events. Moreover, the stability of the closed-loop system is proved by using the Lyapunov stability theory. At the same time, all the signals in the closed-loop systems are globally bounded and the consensus errors converge to a small neighborhood of origin exponentially under the proposed control schemes. Finally, numerical simulation results illustrate the effectiveness of the proposed control schemes. © ICROS, KIEE and Springer 2023 |
abstract_unstemmed |
Abstract This paper investigates the consensus problem for a class of nonlinear leader-follower multi-agent systems with event-triggered updating algorithm. Unlike the most existing event-triggered control protocols, the controllers and parameter update laws are event-triggered and transmitted simultaneously by a composite event-triggered condition. An exponential term of consensus errors is constructed novelly in the event-triggered condition to exclude Zeno behavior and decrease the number of events. Moreover, the stability of the closed-loop system is proved by using the Lyapunov stability theory. At the same time, all the signals in the closed-loop systems are globally bounded and the consensus errors converge to a small neighborhood of origin exponentially under the proposed control schemes. Finally, numerical simulation results illustrate the effectiveness of the proposed control schemes. © ICROS, KIEE and Springer 2023 |
collection_details |
GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_21 GBV_ILN_24 GBV_ILN_72 GBV_ILN_181 GBV_ILN_496 GBV_ILN_2002 GBV_ILN_2003 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2060 GBV_ILN_2470 |
container_issue |
2 |
title_short |
Adaptive Consensus of Nonlinear MASs with Event-triggered Updating Algorithm |
url |
https://dx.doi.org/10.1007/s12555-021-0909-z |
remote_bool |
true |
author2 |
Li, Jing Zhang, Zhaohui Li, Xiaobo |
author2Str |
Li, Jing Zhang, Zhaohui Li, Xiaobo |
ppnlink |
SPR026303256 |
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hochschulschrift_bool |
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doi_str |
10.1007/s12555-021-0909-z |
up_date |
2024-07-03T21:35:47.086Z |
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1803595333862686721 |
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