Filtering of non-uniformly multirate sampled-data systems using the lifting technique

被引:0
|
作者
Wang, Jinhai [1 ]
Jiang, Hongxia [1 ]
Ding, Feng [1 ]
机构
[1] So Yangtze Univ, Control Sci & Engn Res Ctr, Wuxi 214122, Peoples R China
关键词
multirate systems; lifting technique; state-space model; state estimation; Kalman filtering principle;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper uses the lifting technique to derive the lifted state-space models for non-uniformly sampled multirate systems, and transform the obtained models into the canonical ones. Based on the Kalman filtering principle, we derive the state filtering algorithm by minimizing the estimation error covariance matrix and further compute the state estimates of the original systems by using inverse transformation. Finally, an example is given to validate the algorithm proposed.
引用
收藏
页码:46 / 50
页数:5
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