摘要
本文把Kalman参数估计方法应用于系统的Fuzzy模型参数辨识,提出了一种新的递推在线修正Fuzzy 模型参效的方法.在系统干扰为非零均值(未知、慢时变)时,采用本文方法,只需利用观测数据,通过计算机处理,便可得到系统Fuzzy 模型参数的无偏估计.本文算法在IBM-PC/XT 上进行仿真表明是正确和可行的.
A new method of updating fazzy model is given in this paper by applyingKalman Filter Theory to the indentifying fazzy model.Using the method presentedin the paper,We can get a unbiased estimation of fuzzy model of system withnon—zero mean(Unknown or Slowly—time—varying)uhite noise.The simulationon IBM—PC/XT is shown the method is correct and availible.
出处
《哈尔滨工业大学学报》
EI
CAS
CSCD
北大核心
1989年第6期32-37,共6页
Journal of Harbin Institute of Technology
