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Stabilization of stochastic complex networks with switching jump diffusions based on adaptive aperiodically intermittent control
In this article, the exponential stabilization of stochastic complex networks with time delays, uncertainties and switching jump diffusions (SCNTDUSJD) is investigated via adaptive aperiodically intermittent control. It deserves mentioning that switching jump diffusions are state dependent and adapt...
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Published in: | Nonlinear dynamics 2021-06, Vol.104 (4), p.3737-3751 |
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description | In this article, the exponential stabilization of stochastic complex networks with time delays, uncertainties and switching jump diffusions (SCNTDUSJD) is investigated via adaptive aperiodically intermittent control. It deserves mentioning that switching jump diffusions are state dependent and adaptive aperiodically intermittent control is applied to study the stabilization of SCNTDUSJD for the first time. Primarily, the Lyapunov function of SCNTDUSJD is constructed. Based on graph theory and the Lyapunov method, some sufficient conditions are given to ensure the exponential stability of SCNTDUSJD, which reflects that the controller plays an important role in the realization of stabilization. At the same time, our results can be applied to stochastic coupled oscillators with switching jump diffusions. Finally, in order to explain the effectiveness of theoretical results, relative numerical results are presented. |
doi_str_mv | 10.1007/s11071-021-06467-3 |
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It deserves mentioning that switching jump diffusions are state dependent and adaptive aperiodically intermittent control is applied to study the stabilization of SCNTDUSJD for the first time. Primarily, the Lyapunov function of SCNTDUSJD is constructed. Based on graph theory and the Lyapunov method, some sufficient conditions are given to ensure the exponential stability of SCNTDUSJD, which reflects that the controller plays an important role in the realization of stabilization. At the same time, our results can be applied to stochastic coupled oscillators with switching jump diffusions. Finally, in order to explain the effectiveness of theoretical results, relative numerical results are presented.</description><identifier>ISSN: 0924-090X</identifier><identifier>EISSN: 1573-269X</identifier><identifier>DOI: 10.1007/s11071-021-06467-3</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>Adaptive control ; Automotive Engineering ; Classical Mechanics ; Control ; Control stability ; Dynamical Systems ; Engineering ; Euclidean space ; Graph theory ; Investigations ; Liapunov functions ; Markov analysis ; Mechanical Engineering ; Original Paper ; Oscillators ; Science ; Stabilization ; Switching ; Vibration</subject><ispartof>Nonlinear dynamics, 2021-06, Vol.104 (4), p.3737-3751</ispartof><rights>The Author(s), under exclusive licence to Springer Nature B.V. 2021</rights><rights>The Author(s), under exclusive licence to Springer Nature B.V. 2021.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c319t-7a1b7388554bb40ab7a46ddff0bcaf5d528e14b7f1cd4771877e5b0f5bedc93f3</citedby><cites>FETCH-LOGICAL-c319t-7a1b7388554bb40ab7a46ddff0bcaf5d528e14b7f1cd4771877e5b0f5bedc93f3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Liu, Yan</creatorcontrib><creatorcontrib>Chu, Dianhui</creatorcontrib><creatorcontrib>Zou, Yaxuan</creatorcontrib><creatorcontrib>Su, Huan</creatorcontrib><title>Stabilization of stochastic complex networks with switching jump diffusions based on adaptive aperiodically intermittent control</title><title>Nonlinear dynamics</title><addtitle>Nonlinear Dyn</addtitle><description>In this article, the exponential stabilization of stochastic complex networks with time delays, uncertainties and switching jump diffusions (SCNTDUSJD) is investigated via adaptive aperiodically intermittent control. 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Finally, in order to explain the effectiveness of theoretical results, relative numerical results are presented.</description><subject>Adaptive control</subject><subject>Automotive Engineering</subject><subject>Classical Mechanics</subject><subject>Control</subject><subject>Control stability</subject><subject>Dynamical Systems</subject><subject>Engineering</subject><subject>Euclidean space</subject><subject>Graph theory</subject><subject>Investigations</subject><subject>Liapunov functions</subject><subject>Markov analysis</subject><subject>Mechanical Engineering</subject><subject>Original Paper</subject><subject>Oscillators</subject><subject>Science</subject><subject>Stabilization</subject><subject>Switching</subject><subject>Vibration</subject><issn>0924-090X</issn><issn>1573-269X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNp9kEtrGzEURkVpoK6bP9CVoOtJrx5jzSyLyaNg6CIteCf0tOWORxNJTuqs8tOj1IHssrj3br7zXTgIfSVwQQDE90wICNIArbPgC9GwD2hGWsEauujXH9EMesob6GH9CX3OeQcAjEI3Q0-3RekwhEdVQhxx9DiXaLYql2CwiftpcP_w6MpDTH8zfghli3PdZhvGDd4d9hO2wftDrnDGWmVnca1RVk0l3DusJpdCtMGoYTjiMBaX9qEUN5ZaPpYUhy_ozKshu_PXO0d_ri5_L2-a1a_rn8sfq8Yw0pdGKKIF67q25VpzUFoovrDWe9BG-da2tHOEa-GJsVwI0gnhWg2-1c6annk2R99OvVOKdweXi9zFQxrrS0lbznrglNOaoqeUSTHn5LycUtirdJQE5ItpeTItq2n537RkFWInKNfwuHHprfod6hmsSoYQ</recordid><startdate>20210601</startdate><enddate>20210601</enddate><creator>Liu, Yan</creator><creator>Chu, Dianhui</creator><creator>Zou, Yaxuan</creator><creator>Su, Huan</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>PRINS</scope><scope>PTHSS</scope></search><sort><creationdate>20210601</creationdate><title>Stabilization of stochastic complex networks with switching jump diffusions based on adaptive aperiodically intermittent control</title><author>Liu, Yan ; 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It deserves mentioning that switching jump diffusions are state dependent and adaptive aperiodically intermittent control is applied to study the stabilization of SCNTDUSJD for the first time. Primarily, the Lyapunov function of SCNTDUSJD is constructed. Based on graph theory and the Lyapunov method, some sufficient conditions are given to ensure the exponential stability of SCNTDUSJD, which reflects that the controller plays an important role in the realization of stabilization. At the same time, our results can be applied to stochastic coupled oscillators with switching jump diffusions. Finally, in order to explain the effectiveness of theoretical results, relative numerical results are presented.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><doi>10.1007/s11071-021-06467-3</doi><tpages>15</tpages></addata></record> |
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subjects | Adaptive control Automotive Engineering Classical Mechanics Control Control stability Dynamical Systems Engineering Euclidean space Graph theory Investigations Liapunov functions Markov analysis Mechanical Engineering Original Paper Oscillators Science Stabilization Switching Vibration |
title | Stabilization of stochastic complex networks with switching jump diffusions based on adaptive aperiodically intermittent control |
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