Title :
Enhanced parameter estimation for self-tuning control
Author :
Smith, C.A. ; Burnham, K.J. ; James, D.J.G.
Author_Institution :
Control Theory & Applications Group, Coventry Univ., UK
fDate :
3/2/1995 12:00:00 AM
Abstract :
When dealing with industrial systems, standard estimation algorithms based on recursive least squares are often unable to provide satisfactory performances: this is due to ill-conditioning of the least squares problem. When use is made of enhanced schemes based on orthogonal transformations combined with cautious least squares, better use can be made of available information
Keywords :
adaptive control; least squares approximations; parameter estimation; self-adjusting systems; transforms; cautious least squares; industrial systems; orthogonal transformations; parameter estimation; parameter tracking ability; self-tuning control;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:19950243
