Title :
On the structure of the Luenberger observer in discrete-time linear stochastic systems
Author_Institution :
University of New Castle, New South Wales, Australia
fDate :
10/1/1977 12:00:00 AM
Abstract :
The extended Luenberger observer is considered as an alternative to the Kalman filter for obtaining state estimates in discrete-time linear stochastic systems. In certain conditions both estimators have the same structure. It has been shown that the satisfaction of the Huddle equations [7], [9] is sufficient for the discrete extended Luenberger observer to be in the form of a Kalman filter; here we show necessity.
Keywords :
Kalman filtering; Linear systems, stochastic discrete-time; Observers; Control systems; Eigenvalues and eigenfunctions; Kalman filters; Linear systems; Noise measurement; Observers; Q measurement; Riccati equations; Stochastic systems; Vectors;
Journal_Title :
Automatic Control, IEEE Transactions on
DOI :
10.1109/TAC.1977.1101626