Global asymptotic stability of periodic solutions for delayed complex-valued Cohen–Grossberg neural networks by combining coincidence degree theory with LMI method | |
Zhang, Zhengqiu; Zheng, Ting | |
刊名 | Neurocomputing
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2018 | |
卷号 | Vol.289页码:220-230 |
ISSN号 | 1872-8286 |
URL标识 | 查看原文 |
公开日期 | [db:dc_date_available] |
内容类型 | 期刊论文 |
URI标识 | http://www.corc.org.cn/handle/1471x/5468452 |
专题 | 湖南大学 |
作者单位 | 1.College of Mathematics and Econometrics, Hunan University, Changsha 2.410082, China |
推荐引用方式 GB/T 7714 | Zhang, Zhengqiu,Zheng, Ting. Global asymptotic stability of periodic solutions for delayed complex-valued Cohen–Grossberg neural networks by combining coincidence degree theory with LMI method[J]. Neurocomputing,2018,Vol.289:220-230. |
APA | Zhang, Zhengqiu,&Zheng, Ting.(2018).Global asymptotic stability of periodic solutions for delayed complex-valued Cohen–Grossberg neural networks by combining coincidence degree theory with LMI method.Neurocomputing,Vol.289,220-230. |
MLA | Zhang, Zhengqiu,et al."Global asymptotic stability of periodic solutions for delayed complex-valued Cohen–Grossberg neural networks by combining coincidence degree theory with LMI method".Neurocomputing Vol.289(2018):220-230. |
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