%0 Journal Article
%T Optimal higher order learning adaptive control approach for a class of SISO nonlinear systems<br>
%A Ronghu CHI
%A Zhongsheng HOU
%A <br>
%J 控制理论与应用
%D 2005
%I 
%X In this paper,an optimal higher order learning adaptive control approach is developed for a class of SISO nonlinear systems.This design is model-free and depends directly on pseudo-partial-derivatives derived on-line from the input and output information of the system.A novel weighted one-step-ahead control criterion function is proposed for the control law.The convergence analysis shows that the proposed control law can guarantee the convergence under the assumption that the desired output is a set point.Simulation examples are provided for nonlinear systems to illustrate the better performance of the higher order learning adaptive control.
%K Optimization
%K Higher order
%K Learning adaptive control
%K Model_free
%K Nonlinear system<br>
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=970898A57DFC021F93AB51667BAED7F7&aid=0AC6CEAC71BD6BF381EF5D3686DBB9D1&yid=2DD7160C83D0ACED&vid=38B194292C032A66&iid=38B194292C032A66&sid=002786F01A86D891&eid=4B1FFFA116F7AE3B&journal_id=1000-8152&journal_name=控制理论与应用&referenced_num=0&reference_num=0