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Enhanced parameter estimation for self-tuning control

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3 Author(s)
Smith, C.A. ; Control Theory & Applications Group, Coventry Univ., UK ; Burnham, K.J. ; James, D.J.G.

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

Published in:

Electronics Letters  (Volume:31 ,  Issue: 5 )