Adaptive Consensus of Nonlinearly Parameterized Multi-Agent Systems

This letter studies the distributed adaptive consensus problem for multi-agent systems (MASs) subject to nonlinearly parameterized uncertainties. In the existing research, an adaptive consensus scheme was developed for the same scenario but under the assumption that the uncertainties must be linearl...

Full description

Saved in:
Bibliographic Details
Published in:IEEE control systems letters 2019-07, Vol.3 (3), p.505-510
Main Authors: Imran, Imil Hamda, Zhiyong Chen, Yamin Yan, Minyue Fu
Format: Article
Language:English
Subjects:
Adaptive control
Closed loop systems
distributed control
Lyapunov methods
Multi-agent systems
Networked control systems
Trajectory
Uncertainty
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c267t-96c7bcb90b6258c4bb1221d02a015c278d4f104e492b000a22ea7b937a8c81623
cites cdi_FETCH-LOGICAL-c267t-96c7bcb90b6258c4bb1221d02a015c278d4f104e492b000a22ea7b937a8c81623
container_end_page 510
container_issue 3
container_start_page 505
container_title IEEE control systems letters
container_volume 3
creator Imran, Imil Hamda
Zhiyong Chen
Yamin Yan
Minyue Fu
description This letter studies the distributed adaptive consensus problem for multi-agent systems (MASs) subject to nonlinearly parameterized uncertainties. In the existing research, an adaptive consensus scheme was developed for the same scenario but under the assumption that the uncertainties must be linearly parameterized in their unknown parameters. In this letter, the assumption is removed by using a novel distributed adaptive update law, which makes the scheme applicable for more general nonlinear MASs. This letter contains a general design paradigm using the certainty equivalence principle and specific implementation of it on nonlinear second-order MASs. The results are supported by rigorous mathematical analysis and numerical simulation.
doi_str_mv 10.1109/LCSYS.2019.2911688
format article
fullrecord <record><control><sourceid>crossref_ieee_</sourceid><recordid>TN_cdi_crossref_primary_10_1109_LCSYS_2019_2911688</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>8693556</ieee_id><sourcerecordid>10_1109_LCSYS_2019_2911688</sourcerecordid><originalsourceid>FETCH-LOGICAL-c267t-96c7bcb90b6258c4bb1221d02a015c278d4f104e492b000a22ea7b937a8c81623</originalsourceid><addsrcrecordid>eNpNkEtLw0AUhQdRsNT-Ad3kD6TOvUnmsSzBF8QHRBeuwszkRiJpUmZSIf56W1vE1Tmb73D4GLsEvgTg-rrIy_dyiRz0EjWAUOqEzTCVWQxpJk7_9XO2COGTcw4KJUc9Y_mqNpux_aIoH_pAfdiGaGiip6Hv2p6M76boxXizppF8-0119LjtxjZefVA_RuUURlqHC3bWmC7Q4phz9nZ785rfx8Xz3UO-KmKHQo6xFk5aZzW3AjPlUmsBEWqOhkPmUKo6bYCnlGq0u4sGkYy0OpFGOQUCkznDw67zQwiemmrj27XxUwW82puofk1UexPV0cQOujpALRH9AUroJMtE8gNLd1oS</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Adaptive Consensus of Nonlinearly Parameterized Multi-Agent Systems</title><source>IEEE Electronic Library (IEL) Journals</source><creator>Imran, Imil Hamda ; Zhiyong Chen ; Yamin Yan ; Minyue Fu</creator><creatorcontrib>Imran, Imil Hamda ; Zhiyong Chen ; Yamin Yan ; Minyue Fu</creatorcontrib><description>This letter studies the distributed adaptive consensus problem for multi-agent systems (MASs) subject to nonlinearly parameterized uncertainties. In the existing research, an adaptive consensus scheme was developed for the same scenario but under the assumption that the uncertainties must be linearly parameterized in their unknown parameters. In this letter, the assumption is removed by using a novel distributed adaptive update law, which makes the scheme applicable for more general nonlinear MASs. This letter contains a general design paradigm using the certainty equivalence principle and specific implementation of it on nonlinear second-order MASs. The results are supported by rigorous mathematical analysis and numerical simulation.</description><identifier>ISSN: 2475-1456</identifier><identifier>EISSN: 2475-1456</identifier><identifier>DOI: 10.1109/LCSYS.2019.2911688</identifier><identifier>CODEN: ICSLBO</identifier><language>eng</language><publisher>IEEE</publisher><subject>Adaptive control ; Closed loop systems ; distributed control ; Lyapunov methods ; Multi-agent systems ; Networked control systems ; Trajectory ; Uncertainty</subject><ispartof>IEEE control systems letters, 2019-07, Vol.3 (3), p.505-510</ispartof><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c267t-96c7bcb90b6258c4bb1221d02a015c278d4f104e492b000a22ea7b937a8c81623</citedby><cites>FETCH-LOGICAL-c267t-96c7bcb90b6258c4bb1221d02a015c278d4f104e492b000a22ea7b937a8c81623</cites><orcidid>0000-0001-9634-5203 ; 0000-0001-5838-2652 ; 0000-0002-2033-4249 ; 0000-0002-4659-601X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/8693556$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,54771</link.rule.ids></links><search><creatorcontrib>Imran, Imil Hamda</creatorcontrib><creatorcontrib>Zhiyong Chen</creatorcontrib><creatorcontrib>Yamin Yan</creatorcontrib><creatorcontrib>Minyue Fu</creatorcontrib><title>Adaptive Consensus of Nonlinearly Parameterized Multi-Agent Systems</title><title>IEEE control systems letters</title><addtitle>LCSYS</addtitle><description>This letter studies the distributed adaptive consensus problem for multi-agent systems (MASs) subject to nonlinearly parameterized uncertainties. In the existing research, an adaptive consensus scheme was developed for the same scenario but under the assumption that the uncertainties must be linearly parameterized in their unknown parameters. In this letter, the assumption is removed by using a novel distributed adaptive update law, which makes the scheme applicable for more general nonlinear MASs. This letter contains a general design paradigm using the certainty equivalence principle and specific implementation of it on nonlinear second-order MASs. The results are supported by rigorous mathematical analysis and numerical simulation.</description><subject>Adaptive control</subject><subject>Closed loop systems</subject><subject>distributed control</subject><subject>Lyapunov methods</subject><subject>Multi-agent systems</subject><subject>Networked control systems</subject><subject>Trajectory</subject><subject>Uncertainty</subject><issn>2475-1456</issn><issn>2475-1456</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNpNkEtLw0AUhQdRsNT-Ad3kD6TOvUnmsSzBF8QHRBeuwszkRiJpUmZSIf56W1vE1Tmb73D4GLsEvgTg-rrIy_dyiRz0EjWAUOqEzTCVWQxpJk7_9XO2COGTcw4KJUc9Y_mqNpux_aIoH_pAfdiGaGiip6Hv2p6M76boxXizppF8-0119LjtxjZefVA_RuUURlqHC3bWmC7Q4phz9nZ785rfx8Xz3UO-KmKHQo6xFk5aZzW3AjPlUmsBEWqOhkPmUKo6bYCnlGq0u4sGkYy0OpFGOQUCkznDw67zQwiemmrj27XxUwW82puofk1UexPV0cQOujpALRH9AUroJMtE8gNLd1oS</recordid><startdate>201907</startdate><enddate>201907</enddate><creator>Imran, Imil Hamda</creator><creator>Zhiyong Chen</creator><creator>Yamin Yan</creator><creator>Minyue Fu</creator><general>IEEE</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><orcidid>https://orcid.org/0000-0001-9634-5203</orcidid><orcidid>https://orcid.org/0000-0001-5838-2652</orcidid><orcidid>https://orcid.org/0000-0002-2033-4249</orcidid><orcidid>https://orcid.org/0000-0002-4659-601X</orcidid></search><sort><creationdate>201907</creationdate><title>Adaptive Consensus of Nonlinearly Parameterized Multi-Agent Systems</title><author>Imran, Imil Hamda ; Zhiyong Chen ; Yamin Yan ; Minyue Fu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c267t-96c7bcb90b6258c4bb1221d02a015c278d4f104e492b000a22ea7b937a8c81623</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Adaptive control</topic><topic>Closed loop systems</topic><topic>distributed control</topic><topic>Lyapunov methods</topic><topic>Multi-agent systems</topic><topic>Networked control systems</topic><topic>Trajectory</topic><topic>Uncertainty</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Imran, Imil Hamda</creatorcontrib><creatorcontrib>Zhiyong Chen</creatorcontrib><creatorcontrib>Yamin Yan</creatorcontrib><creatorcontrib>Minyue Fu</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><jtitle>IEEE control systems letters</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Imran, Imil Hamda</au><au>Zhiyong Chen</au><au>Yamin Yan</au><au>Minyue Fu</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Adaptive Consensus of Nonlinearly Parameterized Multi-Agent Systems</atitle><jtitle>IEEE control systems letters</jtitle><stitle>LCSYS</stitle><date>2019-07</date><risdate>2019</risdate><volume>3</volume><issue>3</issue><spage>505</spage><epage>510</epage><pages>505-510</pages><issn>2475-1456</issn><eissn>2475-1456</eissn><coden>ICSLBO</coden><abstract>This letter studies the distributed adaptive consensus problem for multi-agent systems (MASs) subject to nonlinearly parameterized uncertainties. In the existing research, an adaptive consensus scheme was developed for the same scenario but under the assumption that the uncertainties must be linearly parameterized in their unknown parameters. In this letter, the assumption is removed by using a novel distributed adaptive update law, which makes the scheme applicable for more general nonlinear MASs. This letter contains a general design paradigm using the certainty equivalence principle and specific implementation of it on nonlinear second-order MASs. The results are supported by rigorous mathematical analysis and numerical simulation.</abstract><pub>IEEE</pub><doi>10.1109/LCSYS.2019.2911688</doi><tpages>6</tpages><orcidid>https://orcid.org/0000-0001-9634-5203</orcidid><orcidid>https://orcid.org/0000-0001-5838-2652</orcidid><orcidid>https://orcid.org/0000-0002-2033-4249</orcidid><orcidid>https://orcid.org/0000-0002-4659-601X</orcidid></addata></record>
fulltext fulltext
identifier ISSN: 2475-1456
ispartof IEEE control systems letters, 2019-07, Vol.3 (3), p.505-510
issn 2475-1456
2475-1456
language eng
recordid cdi_crossref_primary_10_1109_LCSYS_2019_2911688
source IEEE Electronic Library (IEL) Journals
subjects Adaptive control
Closed loop systems
distributed control
Lyapunov methods
Multi-agent systems
Networked control systems
Trajectory
Uncertainty
title Adaptive Consensus of Nonlinearly Parameterized Multi-Agent Systems
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-05T00%3A44%3A32IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-crossref_ieee_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Adaptive%20Consensus%20of%20Nonlinearly%20Parameterized%20Multi-Agent%20Systems&rft.jtitle=IEEE%20control%20systems%20letters&rft.au=Imran,%20Imil%20Hamda&rft.date=2019-07&rft.volume=3&rft.issue=3&rft.spage=505&rft.epage=510&rft.pages=505-510&rft.issn=2475-1456&rft.eissn=2475-1456&rft.coden=ICSLBO&rft_id=info:doi/10.1109/LCSYS.2019.2911688&rft_dat=%3Ccrossref_ieee_%3E10_1109_LCSYS_2019_2911688%3C/crossref_ieee_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c267t-96c7bcb90b6258c4bb1221d02a015c278d4f104e492b000a22ea7b937a8c81623%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=8693556&rfr_iscdi=true