DocumentCode
3000303
Title
Rapid estimation by detecting probabilistically unknown impulse inputs
Author
Sanyal, P. ; Shen, C.N.
Author_Institution
Rensselaer Polytechnic Institute, Troy, New York
fYear
1972
fDate
13-15 Dec. 1972
Firstpage
248
Lastpage
252
Abstract
For on-line estimation of the parameters of a system with unknown impulse inputs, Kalman filter does not perform adequately. A scheme has been developed to detect and estimate the impulse changes and thus obtain a rapid estimate. An example shows the desirability of the new method.
Keywords
Convergence; Gaussian noise; Gaussian processes; Kalman filters; Noise measurement; Parameter estimation; State estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 1972 and 11th Symposium on Adaptive Processes. Proceedings of the 1972 IEEE Conference on
Conference_Location
New Orleans, Louisiana, USA
Type
conf
DOI
10.1109/CDC.1972.268995
Filename
4044918
Link To Document