%0 Journal Article
%T Adaptive fuzzy predictive control for unknown multivariable nonlinear systems<br>未知多变量非线性系统自适应模糊预测控制
%A SHI Wu-xi
%A <br>师五喜
%J 控制理论与应用
%D 2011
%I 
%X We present a direct adaptive fuzzy predictive control method for a class of unknown multivariable nonlinear systems. In this method, the plant is represented by a predictive model consisting of a linear time-varying submodel and a nonlinear submodel; the vector composed of fuzzy logic systems is used to design the predictive controller directly. The unknown vector in the controller and the unknown matrix in estimates of the generalized error are adjusted based on the time-varying function of dead-zone. It is proved that the proposed method can make the estimates of the generalized error vector converge to a neighborhood of the origin.
%K unknown multivariable nonlinear systems
%K adaptive fuzzy control
%K predictive control
%K time-varying deadzone<br>未知多变量非线性系统
%K 自适应模糊控制
%K 预测控制
%K 时变死区
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=970898A57DFC021F93AB51667BAED7F7&aid=7FB288757ED284A028DF00989F535125&yid=9377ED8094509821&vid=D3E34374A0D77D7F&iid=F3090AE9B60B7ED1&sid=969830E7B1842E81&eid=E0D5583D4EFFC59B&journal_id=1000-8152&journal_name=控制理论与应用&referenced_num=0&reference_num=20