文章基本信息

标题：Sets of generalized H 2 exponential stability criteria for switched multilayer dynamic neural networks
本地全文：下载
作者：Choon Ki Ahn ; Young Sam Lee
期刊名称：Advances in Difference Equations
印刷版ISSN：1687-1839
电子版ISSN：1687-1847
出版年度：2012
卷号：2012
期号：1
页码：150
DOI：10.1186/1687-1847-2012-150
语种：English
出版社：Hindawi Publishing Corporation
摘要：This paper investigates new sets of generalized H 2 exponential stability criteria for switched multilayer dynamic neural networks. These sets of sufficient stability criteria in forms of linear matrix inequality (LMI) and matrix norm are presented, under which switched multilayer dynamic neural networks reduce the effect of external input to a predefined level. The proposed sets of criteria also guarantee exponential stability for switched multilayer dynamic neural networks without external input.
关键词：Stability Criterion ; Linear Matrix Inequality ; Exponential Stability ; External Input ; Recurrent Neural Network