文献类型：会议论文

英文题名：Sliding Mode Output Tracking Control based on a Fuzzy Clustering Model

作者：Tong, Shiwen[1];Qian, Dianwei[2];Fang, Jianjun[1]

通讯作者：Tong, SW[1]

机构：[1]Beijing Union Univ, Coll Automat, Beijing 100101, Peoples R China;[2]North China Elect Power Univ, Sch Control & Comp Engn, Beijing 102206, Peoples R China

第一机构：北京联合大学城市轨道交通与物流学院

通讯机构：[1]corresponding author), Beijing Union Univ, Coll Automat, Beijing 100101, Peoples R China.|[1141751]北京联合大学城市轨道交通与物流学院;[11417]北京联合大学;

会议论文集：International conference on Advanced Mechatronic systems

会议日期：AUG 22-24, 2015

会议地点：Beijing, PEOPLES R CHINA

语种：英文

外文关键词：output tracking control; sliding mode control; fuzzy clustering; neural network

摘要：A sliding mode output tracking control method based on a fuzzy clustering model has been proposed in this paper. This technique describes the controlled system by rule based fuzzy models. Parameters (antecedent membership functions, consequent parameters, etc.) in this structure can be fine-tuned with input-output data. By means of this technique, the complicated system can be decomposed into a number of simpler local models with a characteristic of smooth transitions between these sub-models by means of overlap membership functions. Then the implicit membership functions have been transformed into explicit functions of the antecedent variables with neural networks. Thus the control actions of a discrete sliding mode controller can be designed. Simulative results demonstrate the effectiveness of this method.