A UNIFIED SOLUTION TO THE SINGULAR AND NONSINGULAR LINEAR MINIMUM-VARIANCE ESTIMATION PROBLEM

被引:5
作者
BEKIR, E
机构
[1] Rocketdyne Div, Canoga Park, CA, USA, Rocketdyne Div, Canoga Park, CA, USA
关键词
CONTROL SYSTEMS - Invariance - MATHEMATICAL TECHNIQUES - Transfer Functions - SIGNAL FILTERING AND PREDICTION;
D O I
10.1109/9.1260
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A unified solution is derived for the transfer function matrix of the minimum-variance estimator of the state of a linear continuous-time system with noisy or noise-free measurements. For the noisy measurement case, the Kalman-Bucy filter standard equations are used to give the general format of the transfer function. The Kalman-Bucy gain, using the spectral factorization on the algebraic in the S plane, is derived and substituted in the transfer-function expression. The singular case is then shown to be a special case of the noisy measurement estimator.
引用
收藏
页码:590 / 591
页数:2
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