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https://ah.lib.nccu.edu.tw/handle/140.119/73405
題名: | Global asymptotic dynamics of a class of nonlinearly coupled neural networks with delays | 作者: | 曾睿彬 Tseng, Jui-Pin |
貢獻者: | 應數系 | 日期: | Oct-2013 | 上傳時間: | 9-Feb-2015 | 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. | 關聯: | Discrete and Continuous Dynamical Systems - Series A, 33(10), 4693-4729 | 資料類型: | article | DOI: | http://dx.doi.org/10.3934/dcds.2013.33.4693 |
Appears in Collections: | 期刊論文 |
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