AN OPTIMAL REDUCED-ORDER FILTER

被引：0
|
作者：
HONG, L
机构：
[1] Wright State Univ, Dayton, United States
来源：
CONTROL-THEORY AND ADVANCED TECHNOLOGY | 1992年 / 8卷 / 01期
关键词：
REDUCED-ORDER FILTER; L-K TRANSFORMATION; OBSERVER; ESTIMATOR;
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：
An optimal reduced-order filter is developed which can provide a full vector of state estimates for systems where the dimension of the measurement vector is smaller than that of the state vector and no measurements are noise-free. The reduced-order filter consists of an observer type subfilter and a complementary subfilter, each of which provides a subset of the optimal estimate. A two-step L-K transformation is employed to minimize the estimate error variance of each subfilter.
引用
收藏
页码：207 / 220
页数：14
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