Title :
Minimal-order Wiener filter for a system with exact measurements
Author_Institution :
Purdue University, West Lafayette, IN, USA
fDate :
8/1/1985 12:00:00 AM
Abstract :
Necessary and sufficient conditions for the existence of an optimal steady-state state estimator are derived under the assumption that this estimator is a linear functional of the measurements and a finite number of derivatives of the exact measurements. Our conditions are shown to be dual to the generalized Legendre-Clebsch conditions of the dual optimal singular regulator. A separation principle is derived and it is shown that as all process and measurement noise vanishes, the error covariance of our filter converges to a null matrix.
Keywords :
State estimation, linear systems; Wiener filtering; Covariance matrix; Noise measurement; Random variables; Regulators; State estimation; Steady-state; Sufficient conditions; Time measurement; White noise; Wiener filter;
Journal_Title :
Automatic Control, IEEE Transactions on
DOI :
10.1109/TAC.1985.1104050