Publications-Periodical Articles

Article View/Open

Publication Export

Google ScholarTM

NCCU Library

Citation Infomation

  • No data in Web of Science(Wrong one)
    Loading...

Related Publications in TAIR

TitleGlobal asymptotic dynamics of a class of nonlinearly coupled neural networks with delays
Creator曾睿彬
Tseng, Jui-Pin
Contributor應數系
Date2013-10
Date Issued9-Feb-2015 16:44:33 (UTC+8)
SummaryThis work presents an effective approach to the study of the global asymptotic dynamics of general coupled systems. Under the developed framework, the problem of establishing global synchronization or global convergence reduces to solving a corresponding system of linear equations. We illustrate this approach with a class of neural networks that consist of a pair of sub-networks under various types of nonlinear and delayed couplings. We study both the synchronization and the asymptotic synchronous phases of the dynamics, including global convergence to zero, global convergence to multiple synchronous equilibria, and global synchronization with nontrivial synchronous periodic solutions. Our investigation also provides theoretical support to some numerical findings, and improves or extend some results in the literature.
RelationDiscrete and Continuous Dynamical Systems - Series A, 33(10), 4693-4729
Typearticle
DOI http://dx.doi.org/10.3934/dcds.2013.33.4693
dc.contributor 應數系
dc.creator (作者) 曾睿彬zh_TW
dc.creator (作者) Tseng, Jui-Pin
dc.date (日期) 2013-10
dc.date.accessioned 9-Feb-2015 16:44:33 (UTC+8)-
dc.date.available 9-Feb-2015 16:44:33 (UTC+8)-
dc.date.issued (上傳時間) 9-Feb-2015 16:44:33 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/73405-
dc.description.abstract (摘要) This work presents an effective approach to the study of the global asymptotic dynamics of general coupled systems. Under the developed framework, the problem of establishing global synchronization or global convergence reduces to solving a corresponding system of linear equations. We illustrate this approach with a class of neural networks that consist of a pair of sub-networks under various types of nonlinear and delayed couplings. We study both the synchronization and the asymptotic synchronous phases of the dynamics, including global convergence to zero, global convergence to multiple synchronous equilibria, and global synchronization with nontrivial synchronous periodic solutions. Our investigation also provides theoretical support to some numerical findings, and improves or extend some results in the literature.
dc.format.extent 133 bytes-
dc.format.mimetype text/html-
dc.relation (關聯) Discrete and Continuous Dynamical Systems - Series A, 33(10), 4693-4729
dc.title (題名) Global asymptotic dynamics of a class of nonlinearly coupled neural networks with delays
dc.type (資料類型) articleen
dc.identifier.doi (DOI) 10.3934/dcds.2013.33.4693en_US
dc.doi.uri (DOI) http://dx.doi.org/10.3934/dcds.2013.33.4693 en_US