陀螺随机漂移时间序列的辨识  

DENTIFICATION OF TIME SERIES OF GYROSCOPE RANDOM DRIFT

作　　者：吴少敏[1] 万德钧[1] 周百令[1] 黄仁[1] 

机构地区：[1]东南大学

出　　处：《应用科学学报》1995年第4期452-456,共5页Journal of Applied Sciences

基　　金：国家教委博士点基金资助项目

摘　　要：文中提出了一种辨识陀螺随机漂移的弱非线性时间序列模型，给出了其辨识方法并用来对挠性陀螺漂移数据进行仿真研究，结果表明该方法比用线性模型辨识效果更佳。In this paper,a new time series model which is called the weakly non-lineartime series model is produced.We use this model to identify the Gyroscope RandomDrift,and to give a simulating example to illustrate the application of the algorithm which is proposed in the paper.

关 键 词：陀螺随机漂移 非线性 时间序列 卡尔曼滤波 

分 类 号：O318.3[理学—一般力学与力学基础]