%0 Journal Article
%T Optimal Adaptive Controllers Based on Least Squares Algorithms<br>基于最小二乘算法的最优适应控制器
%A Luo Guiming
%A <br>罗贵明
%J 自动化学报
%D 1996
%I 
%X Optimal adaptive controllers based on input matching for the stochastic systems are studied by using least squares algorithms in this paper. The one- step-ahead least squares method is established and the convergence rate of the parameter estimation is obtained. Without any excited condition it is shown that the closed-loop system is globally stable and adaptive control converges to the one-step-ahead optimal control.
%K Least squares
%K method
%K convergence rate
%K optimal adaptive control
%K globally stable<br>最小二乘法
%K 最优适应控制
%K 最优控制
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=E76622685B64B2AA896A7F777B64EB3A&aid=C5A4F043CC8BB4741481978C7007E557&yid=8A15F8B0AA0E5323&vid=BC12EA701C895178&iid=CA4FD0336C81A37A&sid=9C65ADEB5990B252&eid=656F8C8401D91023&journal_id=0254-4156&journal_name=自动化学报&referenced_num=2&reference_num=4