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
fDate :
1/1/1988 12:00:00 AM
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;
Journal_Title :
Automatic Control, IEEE Transactions on
