Convergence of discrete-time Kalman filter estimate to continuous time estimate

被引:5
|
作者
Aalto, Atte [1 ,2 ]
机构
[1] Univ Paris Saclay, Inria, Palaiseau, France
[2] Aalto Univ, Dept Math & Syst Anal, Espoo, Finland
关键词
infinite dimensional systems; temporal discretisation; Kalman filter; sampled data; EQUATIONS;
D O I
10.1080/00207179.2015.1090017
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 article is concerned with the convergence of the state estimate obtained from the discrete-time Kalman filter to the continuous time estimate as the temporal discretisation is refined. The convergence follows from Martingale convergence theorem as demonstrated below; however, surprisingly, no results exist on the rate of convergence. We derive convergence rate estimates for the discrete-time Kalman filter estimate for finite and infinite dimensional systems. The proofs are based on applying the discrete-time Kalman filter on a dense numerable subset of a certain time interval [0, T].
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页码:668 / 679
页数:12
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