Design of low order estimators using reduced models

1 March 1979

journal article
research article
Published by Taylor & Francis in International Journal of Control

Vol. 29 (3) , 447-456
https://doi.org/10.1080/00207177908922710

Abstract

A technique is presented for obtaining low order state estimators for time-invariant, linear systems where estimates of a restricted set of state variables are required. The technique is based on reducing the order of the system and then designing a Kalman filter for the reduced order system.

Keywords

KALMAN FILTER
LINEAR SYSTEMS
LOW ORDER
ORDER ESTIMATORS
REDUCED MODELS
SYSTEM AND THEN DESIGNING
TIME INVARIANT
RESTRICTED SET
ORDER STATE

This publication has 2 references indexed in Scilit:

On reducing computational burden in the Kalman filter
Automatica, 1974
Optimum solution of model-reduction problem
Proceedings of the Institution of Electrical Engineers, 1970