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Adaptive Memory Event-Triggered Observer-Based Control for Nonlinear Multi-Agent Systems Under DoS Attacks
This paper investigates the event-triggered security consensus problem for nonlinear multi-agent systems (MASs) under denial-of-service (DoS) attacks over an undirected graph. A novel adaptive memory observer-based anti-disturbance control scheme is presented to improve the observer accuracy by addi...
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Published in: | IEEE/CAA journal of automatica sinica 2021-10, Vol.8 (10), p.1644-1656 |
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description | This paper investigates the event-triggered security consensus problem for nonlinear multi-agent systems (MASs) under denial-of-service (DoS) attacks over an undirected graph. A novel adaptive memory observer-based anti-disturbance control scheme is presented to improve the observer accuracy by adding a buffer for the system output measurements. Meanwhile, this control scheme can also provide more reasonable control signals when DoS attacks occur. To save network resources, an adaptive memory event-triggered mechanism (AMETM) is also proposed and Zeno behavior is excluded. It is worth mentioning that the AMETM's updates do not require global information. Then, the observer and controller gains are obtained by using the linear matrix inequality (LMI) technique. Finally, simulation examples show the effectiveness of the proposed control scheme. |
doi_str_mv | 10.1109/JAS.2021.1004132 |
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A novel adaptive memory observer-based anti-disturbance control scheme is presented to improve the observer accuracy by adding a buffer for the system output measurements. Meanwhile, this control scheme can also provide more reasonable control signals when DoS attacks occur. To save network resources, an adaptive memory event-triggered mechanism (AMETM) is also proposed and Zeno behavior is excluded. It is worth mentioning that the AMETM's updates do not require global information. Then, the observer and controller gains are obtained by using the linear matrix inequality (LMI) technique. Finally, simulation examples show the effectiveness of the proposed control scheme.</description><identifier>ISSN: 2329-9266</identifier><identifier>EISSN: 2329-9274</identifier><identifier>DOI: 10.1109/JAS.2021.1004132</identifier><identifier>CODEN: IJASJC</identifier><language>eng</language><publisher>Piscataway: The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</publisher><subject>Adaptive control ; Adaptive memory event-triggered mechanism (AMETM) ; compensation mechanism ; Denial of service attacks ; denial-of-service (DoS) attacks ; Denial-of-service attack ; Design methodology ; Fault tolerance ; Fault tolerant systems ; Linear matrix inequalities ; Mathematical analysis ; Multiagent systems ; Nonlinear control ; nonlinear multi-agent systems (MASs) ; Nonlinear systems ; observer-based anti-disturbance control ; Observers ; Simulation ; Uncertainty</subject><ispartof>IEEE/CAA journal of automatica sinica, 2021-10, Vol.8 (10), p.1644-1656</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2021</rights><rights>Copyright © Wanfang Data Co. Ltd. All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c326t-fad3cba76f7a889ee27d602b55546e3ff09f96864a0c30fc801a72170e0f24043</citedby><cites>FETCH-LOGICAL-c326t-fad3cba76f7a889ee27d602b55546e3ff09f96864a0c30fc801a72170e0f24043</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttp://www.wanfangdata.com.cn/images/PeriodicalImages/zdhxb-ywb/zdhxb-ywb.jpg</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/9497874$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,54796</link.rule.ids></links><search><creatorcontrib>Guo, Xianggui</creatorcontrib><creatorcontrib>Zhang, Dongyu</creatorcontrib><creatorcontrib>Wang, Jianliang</creatorcontrib><creatorcontrib>Ahn, Choon Ki</creatorcontrib><title>Adaptive Memory Event-Triggered Observer-Based Control for Nonlinear Multi-Agent Systems Under DoS Attacks</title><title>IEEE/CAA journal of automatica sinica</title><addtitle>JAS</addtitle><description>This paper investigates the event-triggered security consensus problem for nonlinear multi-agent systems (MASs) under denial-of-service (DoS) attacks over an undirected graph. A novel adaptive memory observer-based anti-disturbance control scheme is presented to improve the observer accuracy by adding a buffer for the system output measurements. Meanwhile, this control scheme can also provide more reasonable control signals when DoS attacks occur. To save network resources, an adaptive memory event-triggered mechanism (AMETM) is also proposed and Zeno behavior is excluded. It is worth mentioning that the AMETM's updates do not require global information. Then, the observer and controller gains are obtained by using the linear matrix inequality (LMI) technique. Finally, simulation examples show the effectiveness of the proposed control scheme.</description><subject>Adaptive control</subject><subject>Adaptive memory event-triggered mechanism (AMETM)</subject><subject>compensation mechanism</subject><subject>Denial of service attacks</subject><subject>denial-of-service (DoS) attacks</subject><subject>Denial-of-service attack</subject><subject>Design methodology</subject><subject>Fault tolerance</subject><subject>Fault tolerant systems</subject><subject>Linear matrix inequalities</subject><subject>Mathematical analysis</subject><subject>Multiagent systems</subject><subject>Nonlinear control</subject><subject>nonlinear multi-agent systems (MASs)</subject><subject>Nonlinear systems</subject><subject>observer-based anti-disturbance control</subject><subject>Observers</subject><subject>Simulation</subject><subject>Uncertainty</subject><issn>2329-9266</issn><issn>2329-9274</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNpFkc1PGzEQxVcVSEXAHYmLpd4qbRh_xF4flwAFxMchcLa8u-N0Q7JObSc0_etxFERPMyP93hvpvaI4ozCiFPTFfT0dMWB0RAEE5exbccQ406VmShx87VJ-L05jnAMAZWMltTgq5nVnV6nfIHnEpQ9bcr3BIZUvoZ_NMGBHnpuIYYOhvLQxnxM_pOAXxPlAnvyw6Ae0gTyuF6kv61mWkuk2JlxG8jp0GMiVn5I6Jdu-xZPi0NlFxNPPeVy83ly_TG7Lh-dfd5P6oWw5k6l0tuNtY5V0ylaVRmSqk8Ca8XgsJHLnQDstKykstBxcWwG1ilEFCI4JEPy4-Ln3fbeDs8PMzP06DPmj-df9_tuY7XuzyypHBSzDP_bwKvg_a4zpP83yR8UUB8gU7Kk2-BgDOrMK_dKGraFgdg2Y3IDZuZrPBrLkfC_pEfEL10KrSgn-AcfugNc</recordid><startdate>20211001</startdate><enddate>20211001</enddate><creator>Guo, Xianggui</creator><creator>Zhang, Dongyu</creator><creator>Wang, Jianliang</creator><creator>Ahn, Choon Ki</creator><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><general>School of Beijing Engineering Research Center of Industrial Spectrum Imaging,School of Automation and Electrical Engineering,University of Science and Technology Beijing,Beijing 100083</general><general>Shunde Graduate School of University of Science and Technology Beijing,Foshan 528000,China%Autonomous Intelligent Systems Department,Hangzhou Innovation Institute of Beihang University,Hangzhou 310051,China%School of Electrical Engineering,Korea University,Seoul 1360701,Korea</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>2B.</scope><scope>4A8</scope><scope>92I</scope><scope>93N</scope><scope>PSX</scope><scope>TCJ</scope></search><sort><creationdate>20211001</creationdate><title>Adaptive Memory Event-Triggered Observer-Based Control for Nonlinear Multi-Agent Systems Under DoS Attacks</title><author>Guo, Xianggui ; Zhang, Dongyu ; Wang, Jianliang ; Ahn, Choon Ki</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c326t-fad3cba76f7a889ee27d602b55546e3ff09f96864a0c30fc801a72170e0f24043</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Adaptive control</topic><topic>Adaptive memory event-triggered mechanism (AMETM)</topic><topic>compensation mechanism</topic><topic>Denial of service attacks</topic><topic>denial-of-service (DoS) attacks</topic><topic>Denial-of-service attack</topic><topic>Design methodology</topic><topic>Fault tolerance</topic><topic>Fault tolerant systems</topic><topic>Linear matrix inequalities</topic><topic>Mathematical analysis</topic><topic>Multiagent systems</topic><topic>Nonlinear control</topic><topic>nonlinear multi-agent systems (MASs)</topic><topic>Nonlinear systems</topic><topic>observer-based anti-disturbance control</topic><topic>Observers</topic><topic>Simulation</topic><topic>Uncertainty</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Guo, Xianggui</creatorcontrib><creatorcontrib>Zhang, Dongyu</creatorcontrib><creatorcontrib>Wang, Jianliang</creatorcontrib><creatorcontrib>Ahn, Choon Ki</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Xplore</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering 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>Wanfang Data Journals - Hong Kong</collection><collection>WANFANG Data Centre</collection><collection>Wanfang Data Journals</collection><collection>万方数据期刊 - 香港版</collection><collection>China Online Journals (COJ)</collection><collection>China Online Journals (COJ)</collection><jtitle>IEEE/CAA journal of automatica sinica</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Guo, Xianggui</au><au>Zhang, Dongyu</au><au>Wang, Jianliang</au><au>Ahn, Choon Ki</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Adaptive Memory Event-Triggered Observer-Based Control for Nonlinear Multi-Agent Systems Under DoS Attacks</atitle><jtitle>IEEE/CAA journal of automatica sinica</jtitle><stitle>JAS</stitle><date>2021-10-01</date><risdate>2021</risdate><volume>8</volume><issue>10</issue><spage>1644</spage><epage>1656</epage><pages>1644-1656</pages><issn>2329-9266</issn><eissn>2329-9274</eissn><coden>IJASJC</coden><abstract>This paper investigates the event-triggered security consensus problem for nonlinear multi-agent systems (MASs) under denial-of-service (DoS) attacks over an undirected graph. A novel adaptive memory observer-based anti-disturbance control scheme is presented to improve the observer accuracy by adding a buffer for the system output measurements. Meanwhile, this control scheme can also provide more reasonable control signals when DoS attacks occur. To save network resources, an adaptive memory event-triggered mechanism (AMETM) is also proposed and Zeno behavior is excluded. It is worth mentioning that the AMETM's updates do not require global information. Then, the observer and controller gains are obtained by using the linear matrix inequality (LMI) technique. Finally, simulation examples show the effectiveness of the proposed control scheme.</abstract><cop>Piscataway</cop><pub>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</pub><doi>10.1109/JAS.2021.1004132</doi><tpages>13</tpages></addata></record> |
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subjects | Adaptive control Adaptive memory event-triggered mechanism (AMETM) compensation mechanism Denial of service attacks denial-of-service (DoS) attacks Denial-of-service attack Design methodology Fault tolerance Fault tolerant systems Linear matrix inequalities Mathematical analysis Multiagent systems Nonlinear control nonlinear multi-agent systems (MASs) Nonlinear systems observer-based anti-disturbance control Observers Simulation Uncertainty |
title | Adaptive Memory Event-Triggered Observer-Based Control for Nonlinear Multi-Agent Systems Under DoS Attacks |
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