%0 Journal Article
%T Adaptive neuro-network-based output-feedback variable structure control for a class of affine nonlinear systems<br>一类仿射非线性系统的自适应神经网络输出反馈变结构控制
%A DU Hong-bin
%A YU Zhao-xu
%A <br>杜红彬
%A 余昭旭
%J 控制理论与应用
%D 2008
%I 
%X Based on the results of prior work, we employ the neuro-network parameterization and adaptive variable structure control to propose an output-feedback control for a class of nonlinear affine systems, avoiding the requirement of the strictly positive realness(SPR) condition. This scheme ensures the desired contraction in control, the boundedness of steady-states and the stability of the closed-loop system. It also provides an easy and clear way for selecting the parameters of the observer and the controller.
%K uncertain nonlinear systems
%K adaptive control
%K output feedback control<br>不确定非线性系统
%K 自适应控制
%K 输出反馈控制
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=970898A57DFC021F93AB51667BAED7F7&aid=3DE5EDE83FA17F99437AB5F76A507325&yid=67289AFF6305E306&vid=C5154311167311FE&iid=B31275AF3241DB2D&sid=9E5DBB98644FDC52&eid=3F10405738B4D004&journal_id=1000-8152&journal_name=控制理论与应用&referenced_num=1&reference_num=10