Reduced-order covariance-based unscented Kalman filtering with complementary steady-state correlation

被引：0

作者：

Chandrasekar, J. ^{[1
]}

Kim, I. S. ^{[1
]}

Ridley, A. J. ^{[1
]}

Bernstein, D. S. ^{[1
]}

机构：

[1] Univ Michigan, Ann Arbor, MI 48109 USA

来源：

2007 AMERICAN CONTROL CONFERENCE, VOLS 1-13 | 2007年

关键词：

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：

In this paper, we discuss an extension of the unscented Kalman filter that propagates a surrogate reduced-order covariance and also uses a complementary static estimator gain based on the steady-state correlation between the error in the estimates of the state and measurements to obtain estimates of the entire state.

引用

页码：5617 / 5622

页数：6

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