A Study on Generation of Fuzzy Control Rules Based on FFOTS

摘要：

　　Fuzzy control rules are the very core of a fuzzy controller.Most traditional fuzzy controllers consider the current status of systems only and the generation of them is written by a human expert,which accounts for its slow sdjustment and large shocks around stable ponit.This paper,from the angle of combination of system historical status trend and the current status of the system,proposes a new kind of fuzzy control rules and gives a specific method of its generation from industrial data by using data mining techniques.At last it is proved by MATLAB simulation experiments that this new kind of fuzzy controler reduces the systems adjustment time and overshoot by a large extent compared with the traditional fuzzy controller.

关键词： Fuzzy control rules FFOTS historical status data mining

作者: LI Zhigang CHEN Long

作者单位: College of Information Engineering, Hebei United University, Tangshan 063009, China College of Electrical Engineering, Hebei United University, Tangshan 063009, China

会议类型: 国际会议

会议名称: the 25th Chinese Control and Decision Conference(第25届中国控制与决策会议)

会议地点: 贵阳

会议语种:英文

页码: 2230-2233

在线出版日期: 2013-05-01（万方平台首次上网日期，不代表论文的发表时间）