%0 Journal Article
%T Approximation property of T-S fuzzy singular systems<br>T-S模糊广义系统的逼近性
%A MA Jun-feng
%A ZHANG Qing-ling
%A <br>马俊峰
%A 张庆灵
%J 控制理论与应用
%D 2008
%I 
%X This article focuses on the approximation problem of T-S fuzzy singular systems. An approximation theorem of T-S fuzzy singular systems is proposed. It demonstrates that T-S fuzzy singular systems could approximate to a wide class of nonlinear singular systems with arbitrarily high accuracy. The MISO (multi-input single-output) situation is extended to MIMO (multi-input multi-output) situation. Based on this approximation theorem and using neural network method, the model of T-S fuzzy singular systems can be constructed along with its learning algorithm. Two neural network training strategies are also proposed and their advantages and disadvantages are analyzed respectively. Finally, a numerical example is given to illustrate the validity of the algorithms.
%K T-S fuzzy singular systems
%K approximation property
%K nonlinear singular systems
%K neural network<br>T-S模糊广义系统
%K 逼近性
%K 非线性广义系统
%K 神经网络
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=970898A57DFC021F93AB51667BAED7F7&aid=24FC37A983607B4B1BBE65D5EB1638E3&yid=67289AFF6305E306&vid=C5154311167311FE&iid=94C357A881DFC066&sid=2C8B50BA95995EA2&eid=693E1FFD7BD946DF&journal_id=1000-8152&journal_name=控制理论与应用&referenced_num=0&reference_num=12