%0 Journal Article
%T Adaptive neural-fuzzy control of triple inverted pendulum<br>三级倒立摆的自适应神经模糊控制(英文)
%A GAO Jun-wei
%A CAI Guo-qiang
%A JI Zhi-jian
%A QIN Yong
%A JIA Li-min
%A <br>高军伟
%A 蔡国强
%A 纪志坚
%A 秦勇
%A 贾利民
%J 控制理论与应用
%D 2010
%I 
%X In the triple inverted pendulum(TIP) system, adaptive neural-fuzzy inference system(ANFIS) approach is atilized to combine fuzzy logic with Neural-Network, according to the input/output data, so that ANFIS automatically adjusts fuzzy rules and membership functions based on state synthesis to fit sampling data. The simulation results show that the designed ANFIS controller is feasible. Compared with LQR control, triple inverted pendulum based on ANFIS control has better dynamics performance and anti-interference capability.
%K triple inverted pendulum
%K adaptive neural-fuzzy inference
%K state synthesis
%K LQR<br>三级倒立摆
%K 自适应神经模糊推理系统
%K 状态合成
%K LQR
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=970898A57DFC021F93AB51667BAED7F7&aid=4EC88BC5B8FE8C4A5B52FCDD253E4B62&yid=140ECF96957D60B2&vid=DB817633AA4F79B9&iid=0B39A22176CE99FB&sid=B4E8EA49DAAEB84F&eid=4133DDB79B497495&journal_id=1000-8152&journal_name=控制理论与应用&referenced_num=0&reference_num=13