Title :
An adaptive deadzone technique with a burst alleviation example
Author :
Krause, James M. ; Englehart, Matthew J.
Author_Institution :
Honeywell Syst. & Res. Center, Minneapolis, MN, USA
fDate :
9/1/1993 12:00:00 AM
Abstract :
Elements of recursive-least-squares estimation and gradient-least-squares estimation are combined to produce an estimator with an adaptive deadzone. The estimate adjustment shuts off when the error residual is within the deadzone, and the deadzone adapts to the apparent magnitude of the nonparametric uncertainty. Simulation results show successful prevention of bursting without prior knowledge of the nonparametric uncertainty
Keywords :
adaptive control; least squares approximations; parameter estimation; adaptive deadzone; burst alleviation; gradient-least-squares estimation; nonparametric uncertainty; recursive-least-squares estimation; robust estimator; Adaptive control; Least squares approximation; Least squares methods; Parameter estimation; Recursive estimation; Resonance light scattering; Robust control; Robust stability; Signal processing; Uncertainty;
Journal_Title :
Automatic Control, IEEE Transactions on