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
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;
Conference_Titel :
System Theory, 1988., Proceedings of the Twentieth Southeastern Symposium on
Conference_Location :
Charlotte, NC, USA
Print_ISBN :
0-8186-0847-1
DOI :
10.1109/SSST.1988.17110
