Title :
Adaptive parameter identification
Author :
Kaufman, Howard ; Beaulier, Daniel
Author_Institution :
Rensselaer Polytechnic Institute, Troy, NY, USA
fDate :
10/1/1972 12:00:00 AM
Abstract :
An extended Kalman filter with a fictitious noise input is developed for tracking time-varying parameters. An adaptation algorithm is used for adjusting the covariance of the fictitious noise according to the magnitude of the measured residuals and applied to the tracking of time-varying VTOL parameters.
Keywords :
Adaptive Kalman filtering; Aircraft control; Kalman filtering; Linear systems, time-varying discrete-time; Parameter identification; VTOL aircraft; Equations; Gaussian noise; Gold; Kalman filters; Noise measurement; Parameter estimation; Q measurement; State estimation; Testing; US Government;
Journal_Title :
Automatic Control, IEEE Transactions on
DOI :
10.1109/TAC.1972.1100111
