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On the asymptotic behavior of highly nonlinear hybrid stochastic delay differential equations

Tian Zhang, Huabin Chen, Chenggui Yuan Orcid Logo, Tomás Caraballo

Discrete & Continuous Dynamical Systems - B, Volume: 22, Issue: 11, Pages: 1 - 21

Swansea University Author: Chenggui Yuan Orcid Logo

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    This is a pre-copy-editing, author-produced PDF of an article accepted for publication in Discrete & Continuous Dynamical Systems - B following peer review. The definitive publisher-authenticated version Tian Zhang, Huabin Chen, Chenggui Yuan, Tomás Caraballo. On the asymptotic behavior of highly nonlinear hybrid stochastic delay differential equations. Discrete & Continuous Dynamical Systems - B, 2019, 24 (10) : 5355-5375 is available online at: https://www.aimsciences.org/article/doi/10.3934/dcdsb.2019062 .

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DOI (Published version): 10.3934/dcdsb.2019062

Published in: Discrete & Continuous Dynamical Systems - B
ISSN: 1553-524X
Published: American Institute of Mathematical Sciences (AIMS) 2019
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URI: https://cronfa.swan.ac.uk/Record/cronfa52194
first_indexed 2019-10-01T20:18:33Z
last_indexed 2020-12-15T04:13:51Z
id cronfa52194
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spelling 2020-12-14T12:00:31.4513789 v2 52194 2019-10-01 On the asymptotic behavior of highly nonlinear hybrid stochastic delay differential equations 22b571d1cba717a58e526805bd9abea0 0000-0003-0486-5450 Chenggui Yuan Chenggui Yuan true false 2019-10-01 MACS Journal Article Discrete & Continuous Dynamical Systems - B 22 11 1 21 American Institute of Mathematical Sciences (AIMS) 1553-524X Stochastic differential equations, time-varying delay, asymptotic behavior, stability, Markov switching 31 10 2019 2019-10-31 10.3934/dcdsb.2019062 COLLEGE NANME Mathematics and Computer Science School COLLEGE CODE MACS Swansea University 2020-12-14T12:00:31.4513789 2019-10-01T16:18:06.9673107 Faculty of Science and Engineering School of Mathematics and Computer Science - Mathematics Tian Zhang 1 Huabin Chen 2 Chenggui Yuan 0000-0003-0486-5450 3 Tomás Caraballo 4 52194__15698__a4131933db0c4c288dd520e8d0f5cd04.pdf 52194.pdf 2019-10-22T10:47:43.1158041 Output 449468 application/pdf Accepted Manuscript true 2020-04-01T00:00:00.0000000 This is a pre-copy-editing, author-produced PDF of an article accepted for publication in Discrete & Continuous Dynamical Systems - B following peer review. The definitive publisher-authenticated version Tian Zhang, Huabin Chen, Chenggui Yuan, Tomás Caraballo. On the asymptotic behavior of highly nonlinear hybrid stochastic delay differential equations. Discrete & Continuous Dynamical Systems - B, 2019, 24 (10) : 5355-5375 is available online at: https://www.aimsciences.org/article/doi/10.3934/dcdsb.2019062 . true eng
title On the asymptotic behavior of highly nonlinear hybrid stochastic delay differential equations
spellingShingle On the asymptotic behavior of highly nonlinear hybrid stochastic delay differential equations
Chenggui Yuan
title_short On the asymptotic behavior of highly nonlinear hybrid stochastic delay differential equations
title_full On the asymptotic behavior of highly nonlinear hybrid stochastic delay differential equations
title_fullStr On the asymptotic behavior of highly nonlinear hybrid stochastic delay differential equations
title_full_unstemmed On the asymptotic behavior of highly nonlinear hybrid stochastic delay differential equations
title_sort On the asymptotic behavior of highly nonlinear hybrid stochastic delay differential equations
author_id_str_mv 22b571d1cba717a58e526805bd9abea0
author_id_fullname_str_mv 22b571d1cba717a58e526805bd9abea0_***_Chenggui Yuan
author Chenggui Yuan
author2 Tian Zhang
Huabin Chen
Chenggui Yuan
Tomás Caraballo
format Journal article
container_title Discrete & Continuous Dynamical Systems - B
container_volume 22
container_issue 11
container_start_page 1
publishDate 2019
institution Swansea University
issn 1553-524X
doi_str_mv 10.3934/dcdsb.2019062
publisher American Institute of Mathematical Sciences (AIMS)
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Mathematics and Computer Science - Mathematics{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Mathematics
document_store_str 1
active_str 0
published_date 2019-10-31T04:41:58Z
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score 11.089572

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