Title :
Reducing the computational burden of the GPC by means of internal robust stabilization
Author :
Acosta, L. ; Mendez, J.A. ; Hamilton, A. ; Marichal, G.N. ; Moreno, L.
Author_Institution :
Dept. of Appl. Phys., La Laguna Univ., Spain
Abstract :
A low computationally-cost generalized predictive controller (GPC) is presented. The objective of this work is to show a way of reducing the prediction and control horizons, and so the computational burden, by means of a robust stabilization in the plant. With this, it is intended to guarantee the applicability of the GPC, even for plants with small time constants. A comparison between this algorithm and the GPC applied directly on the plant is given
Keywords :
control system CAD; predictive control; robust control; transfer functions; generalized predictive control; internal robust stabilization; robust control; time constants; transfer function; Computational efficiency; Control systems; Noise robustness; Physics; Prediction algorithms; Real time systems; Robust control; Robust stability; Transfer functions; Uncertainty;
Conference_Titel :
Decision and Control, 1996., Proceedings of the 35th IEEE Conference on
Conference_Location :
Kobe
Print_ISBN :
0-7803-3590-2
DOI :
10.1109/CDC.1996.577592
