基于小波模糊神经网络的滑模控制器设计  

Design of Sliding Mode Controller on Wavelet Fuzzy Neural Network

作　　者：彭巍[1] 赵悦[1] 蔡希彪[1] 唐毅谦[1] 

机构地区：[1]辽宁工学院信息科学与工程学院,辽宁锦州121001

出　　处：《辽宁工学院学报》2005年第5期286-289,共4页Journal of Liaoning Institute of Technology(Natural Science Edition)

基　　金：国家自然科学基金资助项目(60274024)

摘　　要：针对一类非线性系统,采用小波模糊神经网络对控制对象辨识并提出了滑模控制器的设计方法。在系统存在外部干扰并有界时,利用李亚普诺夫方法证明了系统的稳定性。最后,通过MATLAB仿真验证了输出反馈控制具有良好的跟踪性能。The method of sliding mode controller was proposed for a class of nonlinear system, in which identification of objectiveness under control resulting from wavelet fuzzy neural network was adopted. When the system＇s external disturbance having a boundary exists, the stability is proved by using Lyaunov method. At last, it was proved that the output feedback controller was characterized by perfect tracking performance through the simulation of MATLAB.

关 键 词：小波模糊神经网络 滑模控制 遗传算法 

分 类 号：TP114.2[自动化与计算机技术—控制理论与控制工程]