DocumentCode
751586
Title
Adaptive parameter estimation for a constrained low-pass system
Author
Nehorai, Arye ; Stoica, Petre
Author_Institution
Dept. of Electr. Eng., Yale Univ., New Haven, CT, USA
Volume
33
Issue
1
fYear
1988
fDate
1/1/1988 12:00:00 AM
Firstpage
109
Lastpage
112
Abstract
A novel algorithm is presented for adaptive parameter estimation for a constrained low-pass Butterworth system model. The algorithm will estimate the system cutoff frequency and gain online. When it is known that the true system has a low-pass Butterworth structure or some transfer function similar to it and its true order is used, the algorithm will lead to a substantial savings in computation and more accurate results than unconstrained algorithms. Potential applications include filter design and adaptive decision on Nyquist rate for systems
Keywords
filtering and prediction theory; parameter estimation; Nyquist rate; adaptive parameter estimation; constrained low-pass Butterworth system model; cutoff frequency; filter design; Adaptive filters; Automatic control; Control systems; Cutoff frequency; Digital filters; Frequency estimation; Low pass filters; Parameter estimation; Routing; Stochastic processes;
fLanguage
English
Journal_Title
Automatic Control, IEEE Transactions on
Publisher
ieee
ISSN
0018-9286
Type
jour
DOI
10.1109/9.372
Filename
372
Link To Document