Title :
On-line state estimation using modified cubic splines
Author_Institution :
Rensselaer Polytechnic Institute, Troy, NY, USA
fDate :
2/1/1976 12:00:00 AM
Abstract :
A procedure is proposed for rapidly fitting a modified cubic approximation to a moving window of equally spaced measurements.
Keywords :
Spline functions; State estimation; Differential equations; Filtering algorithms; Kalman filters; Noise measurement; Parameter estimation; Smoothing methods; Spline; State estimation; Time measurement; Vectors;
Journal_Title :
Automatic Control, IEEE Transactions on
DOI :
10.1109/TAC.1976.1101133
