文献类型：会议论文

英文题名：Application of Fuzzy Reasoning on an Autonomous Robot

作者：Yang, Qingmei[1];Sun, Jiammin[2]

第一作者：杨清梅

通讯作者：Yang, QM[1]

机构：[1]Beijing Union Univ, Coll Automat, Beijing 100101, Peoples R China;[2]Beijing Univ Civil Engn & Architect, Sch Mech Elect & Automobile Engn, Beijing 100101, 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：IEEE International Conference on Automation and Logistics

会议日期：AUG 05-07, 2009

会议地点：Shenyang, PEOPLES R CHINA

语种：英文

外文关键词：Measure system; Information fusion; Fuzzy reasoning; Kalman filter

摘要：Fuzzy reasoning has been applied in many fields such as control system, expert system and imagine identification and so on. Kalman filter can be used in information fusion. A fuzzy controller is designed in this paper. It used in Kalman filter on location system of an autonomous robot. The fuzzy Kalman filter can adjust the new information of the kalman filter to increase the convergence of the filter and improve the precision of the filter when the errors of measure data are big for some reasons. The The fuzzy Kalman filter is simulated with Matlab. The simulation results show that it can increase the precision efficiently.