DocumentCode
2695835
Title
On fast algorithms for adaptive control
Author
Gang, Xu ; Arevena, J.L.
Author_Institution
Dept. of Electr. & Comput. Eng., Louisiana State Univ., Baton Rouge, LA, USA
fYear
1988
fDate
0-0 1988
Firstpage
544
Lastpage
547
Abstract
The authors study one alternative for improving the computational efficiency of control algorithms. The case considered is a self-tuning control strategy. Attention is focused on the parameter estimation stage. The strategy used is that of simplifying computations in the estimation algorithms. The reduction in computational delay is expected to offset a possible loss in performance due to suboptimal estimates. Several variations of the recursive-least-square algorithm are considered.<>
Keywords
adaptive control; computational complexity; least squares approximations; parameter estimation; self-adjusting systems; adaptive control; computational delay; computational efficiency; parameter estimation; recursive-least-square algorithm; self-tuning control strategy; Adaptive control; Computational efficiency; Delay estimation; Least squares approximation; Least squares methods; Parameter estimation; Partitioning algorithms; Performance loss; Sampling methods; Tuning;
fLanguage
English
Publisher
ieee
Conference_Titel
System Theory, 1988., Proceedings of the Twentieth Southeastern Symposium on
Conference_Location
Charlotte, NC, USA
ISSN
0094-2898
Print_ISBN
0-8186-0847-1
Type
conf
DOI
10.1109/SSST.1988.17110
Filename
17110
Link To Document