%0 Journal Article
%T Nonlinear control techniques for an atomic force<br>
%A Yongchun FANG
%A Matthew FEEMSTER
%A Darren DAWSON
%A Nader MJALILI
%A <br>
%J 控制理论与应用
%D 2005
%I 
%X Two nonlinear control techniques are proposed for an atomic force microscope system. Initially ,a learning- based control algorithm is developed for the microcantilever-sample system that achieves asymptotic cantilever tip tracking for periodic trajectories. Specifically ,the control approach utilizes a learning- based feedforward term to compensate for periodic dynamics and high- gain terms to account for non-periodic dynamics. An adaptive control algorithm is then developed to achieve asymptotic cantilever tip tracking for bounded tip trajectories despite uncertainty throughout the system parameters. Simulation results are provided to illustrate the efficacy and performance of the control strategies.
%K Atomic force microscope
%K Adaptive control
%K Learning control
%K Lyapunov- based stability analysis<br>
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=970898A57DFC021F93AB51667BAED7F7&aid=D874AD7F613068A154C8952456730D8F&yid=2DD7160C83D0ACED&vid=38B194292C032A66&iid=CA4FD0336C81A37A&sid=CD775AE9DDBD7B53&eid=08805F9252973BA4&journal_id=1000-8152&journal_name=控制理论与应用&referenced_num=0&reference_num=0