Adaptive Model-Free Formation Control for Multiple-Agent Under Event- Triggered Mechanism

In this article, a distributed model-free mode control strategy combined with event-trigger mechanism is proposed to solve the problem of complex interaction, limited communication range, random link packet loss and unknown dynamics for multi agents cooperation while avoiding obstacle collision. Fir...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:IEEE access 2024, Vol.12, p.151178-151187
Hauptverfasser: Huang, Shixin, Chen, Xiangjian, Li, Di
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 151187
container_issue
container_start_page 151178
container_title IEEE access
container_volume 12
creator Huang, Shixin
Chen, Xiangjian
Li, Di
description In this article, a distributed model-free mode control strategy combined with event-trigger mechanism is proposed to solve the problem of complex interaction, limited communication range, random link packet loss and unknown dynamics for multi agents cooperation while avoiding obstacle collision. Firstly, the event driven decision-making strategy is established under the conditions, which include random link packet loss or collision event is triggered, which can effectively reduce a large amount of communication and improve resource utilization between agents. Secondly, a random link packet loss compensation mechanism is designed using the output information from neighbors at the time of the previous event trigger. This is then combined with the event-driven communication mechanism to design a distributed control strategy and analyze the convergence performance of the tracking error. Finally, simulation results demonstrate the effectiveness and robustness of proposed control strategy.
doi_str_mv 10.1109/ACCESS.2024.3479277
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_crossref_primary_10_1109_ACCESS_2024_3479277</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>10716364</ieee_id><doaj_id>oai_doaj_org_article_f4e5addb63844151b0239e652be40e91</doaj_id><sourcerecordid>3119786942</sourcerecordid><originalsourceid>FETCH-LOGICAL-c289t-da3b93a28102b28dc2a6af756d410b14cfb479315952f19d75b0892d1e965e3b3</originalsourceid><addsrcrecordid>eNpNUU1LxDAQLaKgqL9ADwHPXTP5anNcyq4Ku3hQD55C0kzXLN1mTbuC_95qRZzLDI_33szwsuwK6AyA6tt5VS2enmaMMjHjotCsKI6yMwZK51xydfxvPs0u-35LxypHSBZn2evc2_0QPpCso8c2XyZEsoxpZ4cQO1LFbkixJU1MZH1oh7BvMZ9vsBvIS-cxkcXHOOfkOYXNBhN6ssb6zXah311kJ41te7z87efZy3LxXN3nq8e7h2q-ymtW6iH3ljvNLSuBMsdKXzOrbFNI5QVQB6Ju3PgTB6kla0D7QjpaauYBtZLIHT_PHiZfH-3W7FPY2fRpog3mB4hpY2waQt2iaQRK671TvBQCJDjKuEYlmUNBUcPodTN57VN8P2A_mG08pG4833AAXZRKCzay-MSqU-z7hM3fVqDmOxIzRWK-IzG_kYyq60kVEPGfogDFleBfQoiGQw</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3119786942</pqid></control><display><type>article</type><title>Adaptive Model-Free Formation Control for Multiple-Agent Under Event- Triggered Mechanism</title><source>IEEE Open Access Journals</source><source>DOAJ Directory of Open Access Journals</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><creator>Huang, Shixin ; Chen, Xiangjian ; Li, Di</creator><creatorcontrib>Huang, Shixin ; Chen, Xiangjian ; Li, Di</creatorcontrib><description>In this article, a distributed model-free mode control strategy combined with event-trigger mechanism is proposed to solve the problem of complex interaction, limited communication range, random link packet loss and unknown dynamics for multi agents cooperation while avoiding obstacle collision. Firstly, the event driven decision-making strategy is established under the conditions, which include random link packet loss or collision event is triggered, which can effectively reduce a large amount of communication and improve resource utilization between agents. Secondly, a random link packet loss compensation mechanism is designed using the output information from neighbors at the time of the previous event trigger. This is then combined with the event-driven communication mechanism to design a distributed control strategy and analyze the convergence performance of the tracking error. Finally, simulation results demonstrate the effectiveness and robustness of proposed control strategy.</description><identifier>ISSN: 2169-3536</identifier><identifier>EISSN: 2169-3536</identifier><identifier>DOI: 10.1109/ACCESS.2024.3479277</identifier><identifier>CODEN: IAECCG</identifier><language>eng</language><publisher>Piscataway: IEEE</publisher><subject>Adaptive control ; Bandwidth ; Collision avoidance ; Data models ; Decision making ; Error analysis ; Event detection ; Event-triggered ; formation control ; Mathematical models ; Multi-agent systems ; Multiagent systems ; multiple agents system ; obstacle avoidance ; packet dropout ; Packet loss ; Real-time systems ; Resource utilization ; Robust control ; Robustness ; Strategy ; Tracking errors ; Uncertainty ; Vehicle dynamics</subject><ispartof>IEEE access, 2024, Vol.12, p.151178-151187</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2024</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c289t-da3b93a28102b28dc2a6af756d410b14cfb479315952f19d75b0892d1e965e3b3</cites><orcidid>0000-0002-8137-5095 ; 0000-0003-4089-7257</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/10716364$$EHTML$$P50$$Gieee$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,864,2100,4022,27632,27922,27923,27924,54932</link.rule.ids></links><search><creatorcontrib>Huang, Shixin</creatorcontrib><creatorcontrib>Chen, Xiangjian</creatorcontrib><creatorcontrib>Li, Di</creatorcontrib><title>Adaptive Model-Free Formation Control for Multiple-Agent Under Event- Triggered Mechanism</title><title>IEEE access</title><addtitle>Access</addtitle><description>In this article, a distributed model-free mode control strategy combined with event-trigger mechanism is proposed to solve the problem of complex interaction, limited communication range, random link packet loss and unknown dynamics for multi agents cooperation while avoiding obstacle collision. Firstly, the event driven decision-making strategy is established under the conditions, which include random link packet loss or collision event is triggered, which can effectively reduce a large amount of communication and improve resource utilization between agents. Secondly, a random link packet loss compensation mechanism is designed using the output information from neighbors at the time of the previous event trigger. This is then combined with the event-driven communication mechanism to design a distributed control strategy and analyze the convergence performance of the tracking error. Finally, simulation results demonstrate the effectiveness and robustness of proposed control strategy.</description><subject>Adaptive control</subject><subject>Bandwidth</subject><subject>Collision avoidance</subject><subject>Data models</subject><subject>Decision making</subject><subject>Error analysis</subject><subject>Event detection</subject><subject>Event-triggered</subject><subject>formation control</subject><subject>Mathematical models</subject><subject>Multi-agent systems</subject><subject>Multiagent systems</subject><subject>multiple agents system</subject><subject>obstacle avoidance</subject><subject>packet dropout</subject><subject>Packet loss</subject><subject>Real-time systems</subject><subject>Resource utilization</subject><subject>Robust control</subject><subject>Robustness</subject><subject>Strategy</subject><subject>Tracking errors</subject><subject>Uncertainty</subject><subject>Vehicle dynamics</subject><issn>2169-3536</issn><issn>2169-3536</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>ESBDL</sourceid><sourceid>RIE</sourceid><sourceid>DOA</sourceid><recordid>eNpNUU1LxDAQLaKgqL9ADwHPXTP5anNcyq4Ku3hQD55C0kzXLN1mTbuC_95qRZzLDI_33szwsuwK6AyA6tt5VS2enmaMMjHjotCsKI6yMwZK51xydfxvPs0u-35LxypHSBZn2evc2_0QPpCso8c2XyZEsoxpZ4cQO1LFbkixJU1MZH1oh7BvMZ9vsBvIS-cxkcXHOOfkOYXNBhN6ssb6zXah311kJ41te7z87efZy3LxXN3nq8e7h2q-ymtW6iH3ljvNLSuBMsdKXzOrbFNI5QVQB6Ju3PgTB6kla0D7QjpaauYBtZLIHT_PHiZfH-3W7FPY2fRpog3mB4hpY2waQt2iaQRK671TvBQCJDjKuEYlmUNBUcPodTN57VN8P2A_mG08pG4833AAXZRKCzay-MSqU-z7hM3fVqDmOxIzRWK-IzG_kYyq60kVEPGfogDFleBfQoiGQw</recordid><startdate>2024</startdate><enddate>2024</enddate><creator>Huang, Shixin</creator><creator>Chen, Xiangjian</creator><creator>Li, Di</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>ESBDL</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>7SR</scope><scope>8BQ</scope><scope>8FD</scope><scope>JG9</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-8137-5095</orcidid><orcidid>https://orcid.org/0000-0003-4089-7257</orcidid></search><sort><creationdate>2024</creationdate><title>Adaptive Model-Free Formation Control for Multiple-Agent Under Event- Triggered Mechanism</title><author>Huang, Shixin ; Chen, Xiangjian ; Li, Di</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c289t-da3b93a28102b28dc2a6af756d410b14cfb479315952f19d75b0892d1e965e3b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Adaptive control</topic><topic>Bandwidth</topic><topic>Collision avoidance</topic><topic>Data models</topic><topic>Decision making</topic><topic>Error analysis</topic><topic>Event detection</topic><topic>Event-triggered</topic><topic>formation control</topic><topic>Mathematical models</topic><topic>Multi-agent systems</topic><topic>Multiagent systems</topic><topic>multiple agents system</topic><topic>obstacle avoidance</topic><topic>packet dropout</topic><topic>Packet loss</topic><topic>Real-time systems</topic><topic>Resource utilization</topic><topic>Robust control</topic><topic>Robustness</topic><topic>Strategy</topic><topic>Tracking errors</topic><topic>Uncertainty</topic><topic>Vehicle dynamics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Huang, Shixin</creatorcontrib><creatorcontrib>Chen, Xiangjian</creatorcontrib><creatorcontrib>Li, Di</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE Open Access Journals</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics &amp; Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts – Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>IEEE access</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Huang, Shixin</au><au>Chen, Xiangjian</au><au>Li, Di</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Adaptive Model-Free Formation Control for Multiple-Agent Under Event- Triggered Mechanism</atitle><jtitle>IEEE access</jtitle><stitle>Access</stitle><date>2024</date><risdate>2024</risdate><volume>12</volume><spage>151178</spage><epage>151187</epage><pages>151178-151187</pages><issn>2169-3536</issn><eissn>2169-3536</eissn><coden>IAECCG</coden><abstract>In this article, a distributed model-free mode control strategy combined with event-trigger mechanism is proposed to solve the problem of complex interaction, limited communication range, random link packet loss and unknown dynamics for multi agents cooperation while avoiding obstacle collision. Firstly, the event driven decision-making strategy is established under the conditions, which include random link packet loss or collision event is triggered, which can effectively reduce a large amount of communication and improve resource utilization between agents. Secondly, a random link packet loss compensation mechanism is designed using the output information from neighbors at the time of the previous event trigger. This is then combined with the event-driven communication mechanism to design a distributed control strategy and analyze the convergence performance of the tracking error. Finally, simulation results demonstrate the effectiveness and robustness of proposed control strategy.</abstract><cop>Piscataway</cop><pub>IEEE</pub><doi>10.1109/ACCESS.2024.3479277</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0002-8137-5095</orcidid><orcidid>https://orcid.org/0000-0003-4089-7257</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 2169-3536
ispartof IEEE access, 2024, Vol.12, p.151178-151187
issn 2169-3536
2169-3536
language eng
recordid cdi_crossref_primary_10_1109_ACCESS_2024_3479277
source IEEE Open Access Journals; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals
subjects Adaptive control
Bandwidth
Collision avoidance
Data models
Decision making
Error analysis
Event detection
Event-triggered
formation control
Mathematical models
Multi-agent systems
Multiagent systems
multiple agents system
obstacle avoidance
packet dropout
Packet loss
Real-time systems
Resource utilization
Robust control
Robustness
Strategy
Tracking errors
Uncertainty
Vehicle dynamics
title Adaptive Model-Free Formation Control for Multiple-Agent Under Event- Triggered Mechanism
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-12T14%3A53%3A05IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Adaptive%20Model-Free%20Formation%20Control%20for%20Multiple-Agent%20Under%20Event-%20Triggered%20Mechanism&rft.jtitle=IEEE%20access&rft.au=Huang,%20Shixin&rft.date=2024&rft.volume=12&rft.spage=151178&rft.epage=151187&rft.pages=151178-151187&rft.issn=2169-3536&rft.eissn=2169-3536&rft.coden=IAECCG&rft_id=info:doi/10.1109/ACCESS.2024.3479277&rft_dat=%3Cproquest_cross%3E3119786942%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=3119786942&rft_id=info:pmid/&rft_ieee_id=10716364&rft_doaj_id=oai_doaj_org_article_f4e5addb63844151b0239e652be40e91&rfr_iscdi=true