期刊文献+

自动调整遗忘因子的 LKL 辨识方法及应用

A Method of LKL Identification Algorithm with Auto regulation Forgetting Factor and Its Application
原文传递
导出
摘要 介绍了一种自动调整遗忘因子的最小二乘方法,并将它引入到LKL(最小二乘,Kalman滤波,最小二乘)方法中.大量数字仿真表明这种方法对于小样本快速时变系统的辨识是有效的.自动调整遗忘因子的LKL辨识方法应用到灯泡销售预测中,获得较为满意的结果. A least square method with auto regulation forgetting factor is presented.Then,it is introduced into LKL(least square,Kalman filtering,least square) method.A lot of digital simulation results show that the algorithm is effective for identifying fast varying systems which is small samples.It is satisfactory that the identification algorithm is used to predict the electric bulb sold.
出处 《武汉水利电力大学学报》 CSCD 1998年第3期70-72,共3页 Engineering Journal of Wuhan University
关键词 系统辨识 遗忘因子 最小二乘法 KALMAN滤波 system identification forgetting factor least square method Kalman filtering
  • 相关文献

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部