%0 Journal Article
%T Delay-dependent stability criteria for network-based neural networks<br>网络化神经网络的时滞依赖稳定性判据(英文)
%A ZHU Xun-lin
%A YUE Dong
%A <br>朱训林
%A 岳东
%J 控制理论与应用
%D 2012
%I 
%X This paper investigates the problem of stability of network-based neural networks (NNs). To exploit the sampling characteristic of network systems, we define a new type of Lyapunov functional. By analyzing the relation between the network-induced delay and the executive duration, and employing an iterative convex combination technique, we develop a less conservative stability criterion for network-based NNs. To reduce the computational complexity, we also propose a stability criterion for sampled-data-based NNs. An illustrative example is given to show the effectiveness and the advantages of the proposed method.
%K neural networks (NNs)
%K sampled-data control
%K stability criteria<br>神经网络
%K 采样控制
%K 稳定性条件
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=970898A57DFC021F93AB51667BAED7F7&aid=93DE4001FBC35FE854D9DA155287ABD1&yid=99E9153A83D4CB11&vid=771469D9D58C34FF&iid=9CF7A0430CBB2DFD&sid=827D3389B7A27A64&eid=C9B4EBB1C6A169D8&journal_id=1000-8152&journal_name=控制理论与应用&referenced_num=0&reference_num=0