Adaptive reduced parameters fault-tolerant tracking control for stochastic multiagent systems with simplified memory event-triggered strategy
The memory event-based finite-time bipartite tracking control scheme is presented for the stochastic nonlinear multiagent systems. The actuator is affected by Bouc–Wen hysteresis and actuator faults simultaneously, and to guarantee the tracking performance, an adaptive finite-time bipartite controll...
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Veröffentlicht in: | Nonlinear dynamics 2023-07, Vol.111 (13), p.12127-12141 |
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creator | Li, Dongni Cao, Liang Xue, Hong |
description | The memory event-based finite-time bipartite tracking control scheme is presented for the stochastic nonlinear multiagent systems. The actuator is affected by Bouc–Wen hysteresis and actuator faults simultaneously, and to guarantee the tracking performance, an adaptive finite-time bipartite controller, which reduces online estimation parameters, is constructed for the stochastic systems. A simplified memory event-triggered mechanism is proposed under the backstepping framework for the first time. Furthermore, the released data are used to set the event-triggered threshold condition, which avoids the problem of trigger instability caused by actuator faults and Bouc–Wen Hysteresis. Disturbance observers are applied to compensate the impact of input hysteresis and system disturbances. According to the Lyapunov theory, it is shown that all signals of the closed-loop systems are semiglobal practical finite-time stable in probability. Meanwhile, the bipartite control performance is obtained. Finally, a practical example and a numerical simulation are provided to attest the validity of the proposed bipartite tracking control strategy. |
doi_str_mv | 10.1007/s11071-023-08450-6 |
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The actuator is affected by Bouc–Wen hysteresis and actuator faults simultaneously, and to guarantee the tracking performance, an adaptive finite-time bipartite controller, which reduces online estimation parameters, is constructed for the stochastic systems. A simplified memory event-triggered mechanism is proposed under the backstepping framework for the first time. Furthermore, the released data are used to set the event-triggered threshold condition, which avoids the problem of trigger instability caused by actuator faults and Bouc–Wen Hysteresis. Disturbance observers are applied to compensate the impact of input hysteresis and system disturbances. According to the Lyapunov theory, it is shown that all signals of the closed-loop systems are semiglobal practical finite-time stable in probability. Meanwhile, the bipartite control performance is obtained. Finally, a practical example and a numerical simulation are provided to attest the validity of the proposed bipartite tracking control strategy.</description><identifier>ISSN: 0924-090X</identifier><identifier>EISSN: 1573-269X</identifier><identifier>DOI: 10.1007/s11071-023-08450-6</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>Actuators ; Adaptive control ; Automotive Engineering ; Classical Mechanics ; Closed loops ; Control ; Cooperation ; Design ; Disturbance observers ; Dynamical Systems ; Engineering ; Fault tolerance ; Feedback control ; Hysteresis ; Mechanical Engineering ; Multiagent systems ; Nonlinear systems ; Original Paper ; Parameter estimation ; Stochastic systems ; Tracking control ; Vibration</subject><ispartof>Nonlinear dynamics, 2023-07, Vol.111 (13), p.12127-12141</ispartof><rights>The Author(s), under exclusive licence to Springer Nature B.V. 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c319t-4af07d5e259d359b22915541017d95db09b9ba602b553f440aecf4dd58b398f23</citedby><cites>FETCH-LOGICAL-c319t-4af07d5e259d359b22915541017d95db09b9ba602b553f440aecf4dd58b398f23</cites><orcidid>0000-0002-5698-8527</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11071-023-08450-6$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11071-023-08450-6$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids></links><search><creatorcontrib>Li, Dongni</creatorcontrib><creatorcontrib>Cao, Liang</creatorcontrib><creatorcontrib>Xue, Hong</creatorcontrib><title>Adaptive reduced parameters fault-tolerant tracking control for stochastic multiagent systems with simplified memory event-triggered strategy</title><title>Nonlinear dynamics</title><addtitle>Nonlinear Dyn</addtitle><description>The memory event-based finite-time bipartite tracking control scheme is presented for the stochastic nonlinear multiagent systems. The actuator is affected by Bouc–Wen hysteresis and actuator faults simultaneously, and to guarantee the tracking performance, an adaptive finite-time bipartite controller, which reduces online estimation parameters, is constructed for the stochastic systems. A simplified memory event-triggered mechanism is proposed under the backstepping framework for the first time. Furthermore, the released data are used to set the event-triggered threshold condition, which avoids the problem of trigger instability caused by actuator faults and Bouc–Wen Hysteresis. Disturbance observers are applied to compensate the impact of input hysteresis and system disturbances. According to the Lyapunov theory, it is shown that all signals of the closed-loop systems are semiglobal practical finite-time stable in probability. Meanwhile, the bipartite control performance is obtained. Finally, a practical example and a numerical simulation are provided to attest the validity of the proposed bipartite tracking control strategy.</description><subject>Actuators</subject><subject>Adaptive control</subject><subject>Automotive Engineering</subject><subject>Classical Mechanics</subject><subject>Closed loops</subject><subject>Control</subject><subject>Cooperation</subject><subject>Design</subject><subject>Disturbance observers</subject><subject>Dynamical Systems</subject><subject>Engineering</subject><subject>Fault tolerance</subject><subject>Feedback control</subject><subject>Hysteresis</subject><subject>Mechanical Engineering</subject><subject>Multiagent systems</subject><subject>Nonlinear systems</subject><subject>Original Paper</subject><subject>Parameter estimation</subject><subject>Stochastic systems</subject><subject>Tracking control</subject><subject>Vibration</subject><issn>0924-090X</issn><issn>1573-269X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNp9kM1u1DAUhS0EEkPhBbqyxNpw_TeJl1UFFKlSNyB1ZznxdeqSxMH2FM1D8M41nUrdsbqb73xH9xByzuETB-g-F86h4wyEZNArDWz_iuy47iQTe3P7muzACMXAwO1b8q6UewCQAvod-Xvh3VbjA9KM_jCip5vLbsGKudDgDnNlNc2Y3VppzW78FdeJjmmtOc00pExLTeOdKzWOdGl0dBM2tBxLxaXQP7He0RKXbY4hNvmCS8pHig8NYjXHacLW2yTZVZyO78mb4OaCH57vGfn59cuPyyt2ffPt--XFNRslN5UpF6DzGoU2XmozCGG41ooD77zRfgAzmMHtQQxay6AUOByD8l73gzR9EPKMfDx5t5x-H7BUe58OeW2VVvRSGBAKVKPEiRpzKiVjsFuOi8tHy8H-m92eZrdtdvs0u923kDyFSoPX9t6L-j-pR-aUicA</recordid><startdate>20230701</startdate><enddate>20230701</enddate><creator>Li, Dongni</creator><creator>Cao, Liang</creator><creator>Xue, Hong</creator><general>Springer Netherlands</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>L6V</scope><scope>M7S</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><orcidid>https://orcid.org/0000-0002-5698-8527</orcidid></search><sort><creationdate>20230701</creationdate><title>Adaptive reduced parameters fault-tolerant tracking control for stochastic multiagent systems with simplified memory event-triggered strategy</title><author>Li, Dongni ; Cao, Liang ; Xue, Hong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c319t-4af07d5e259d359b22915541017d95db09b9ba602b553f440aecf4dd58b398f23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Actuators</topic><topic>Adaptive control</topic><topic>Automotive Engineering</topic><topic>Classical Mechanics</topic><topic>Closed loops</topic><topic>Control</topic><topic>Cooperation</topic><topic>Design</topic><topic>Disturbance observers</topic><topic>Dynamical Systems</topic><topic>Engineering</topic><topic>Fault tolerance</topic><topic>Feedback control</topic><topic>Hysteresis</topic><topic>Mechanical Engineering</topic><topic>Multiagent systems</topic><topic>Nonlinear systems</topic><topic>Original Paper</topic><topic>Parameter estimation</topic><topic>Stochastic systems</topic><topic>Tracking control</topic><topic>Vibration</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Li, Dongni</creatorcontrib><creatorcontrib>Cao, Liang</creatorcontrib><creatorcontrib>Xue, Hong</creatorcontrib><collection>CrossRef</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><jtitle>Nonlinear dynamics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Li, Dongni</au><au>Cao, Liang</au><au>Xue, Hong</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Adaptive reduced parameters fault-tolerant tracking control for stochastic multiagent systems with simplified memory event-triggered strategy</atitle><jtitle>Nonlinear dynamics</jtitle><stitle>Nonlinear Dyn</stitle><date>2023-07-01</date><risdate>2023</risdate><volume>111</volume><issue>13</issue><spage>12127</spage><epage>12141</epage><pages>12127-12141</pages><issn>0924-090X</issn><eissn>1573-269X</eissn><abstract>The memory event-based finite-time bipartite tracking control scheme is presented for the stochastic nonlinear multiagent systems. The actuator is affected by Bouc–Wen hysteresis and actuator faults simultaneously, and to guarantee the tracking performance, an adaptive finite-time bipartite controller, which reduces online estimation parameters, is constructed for the stochastic systems. A simplified memory event-triggered mechanism is proposed under the backstepping framework for the first time. Furthermore, the released data are used to set the event-triggered threshold condition, which avoids the problem of trigger instability caused by actuator faults and Bouc–Wen Hysteresis. Disturbance observers are applied to compensate the impact of input hysteresis and system disturbances. According to the Lyapunov theory, it is shown that all signals of the closed-loop systems are semiglobal practical finite-time stable in probability. Meanwhile, the bipartite control performance is obtained. Finally, a practical example and a numerical simulation are provided to attest the validity of the proposed bipartite tracking control strategy.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><doi>10.1007/s11071-023-08450-6</doi><tpages>15</tpages><orcidid>https://orcid.org/0000-0002-5698-8527</orcidid></addata></record> |
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subjects | Actuators Adaptive control Automotive Engineering Classical Mechanics Closed loops Control Cooperation Design Disturbance observers Dynamical Systems Engineering Fault tolerance Feedback control Hysteresis Mechanical Engineering Multiagent systems Nonlinear systems Original Paper Parameter estimation Stochastic systems Tracking control Vibration |
title | Adaptive reduced parameters fault-tolerant tracking control for stochastic multiagent systems with simplified memory event-triggered strategy |
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