文章基本信息

标题：A study on state estimation for discrete-time recurrent neural networks with leakage delay and time-varying delay
本地全文：下载
作者：Sai-Bing Qiu ; Xin-Ge Liu ; Yan-Jun Shu 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：2016
卷号：2016
期号：1
页码：234
DOI：10.1186/s13662-016-0958-4
语种：English
出版社：Hindawi Publishing Corporation
摘要：We investigate state estimation for a class of discrete-time recurrent neural networks with leakage delay and time-varying delay. The design method for the state estimator to estimate the neuron states through available output measurements is given. A novel delay-dependent sufficient condition is obtained for the existence of state estimator such that the estimation error system is globally asymptotically stable. Based a novel double summation inequality and reciprocally convex approach, an improved stability criterion is obtained for the error-state system. Two numerical examples are given to demonstrate the effectiveness of the proposed design methods. The simulation results show that the leakage delay has a destabilizing influence on a neural network system.
关键词：state estimation ; discrete-time ; leakage delay ; stability