文章基本信息

标题：Desired clustering of genetic regulatory networks with mixed delays
本地全文：下载
作者：Chengye Zou ; Xiaopeng Wei ; Qiang Zhang 等
期刊名称：Advances in Difference Equations
印刷版ISSN：1687-1839
电子版ISSN：1687-1847
出版年度：2018
卷号：2018
期号：1
页码：150
DOI：10.1186/s13662-018-1534-x
语种：English
出版社：Hindawi Publishing Corporation
摘要：In this study, we propose two techniques for clustering genetic regulatory networks with mixed delays. Laws for identifying coupling parameters are designed, and the Lyapunov theorem and Lipschitz condition are employed to achieve the desired stability and to identify the coupling parameters. Using our proposed methods, the value of a cluster or the sum of clusters can approach the expected values. Numerical examples verify the feasibility and effectiveness of this method.
关键词：Desired clustering ; Genetic regulatory network ; Stability theory ; Lyapunov function