Title :
A descent algorithm for a min-max problem in model predictive control
Author :
Papavasiliou, G.C. ; Allwright, J.C.
Author_Institution :
Imperial Coll. of Sci., Technol. & Med., London, UK
Abstract :
A feasible directions algorithm is proposed for efficient solution of a min-max formulation for model predictive control, which arises when there is uncertainty in the model of the system. The output of the model is assumed to be a linear function of some unknown parameters. The algorithm always tries to choose the steepest possible descent direction
Keywords :
minimax techniques; predictive control; descent algorithm; feasible directions algorithm; min-max problem; model predictive control; uncertainty; Educational institutions; Error correction; Industrial control; Optimal control; Power system modeling; Predictive control; Predictive models; Robustness; Systems engineering and theory; Uncertainty;
Conference_Titel :
Decision and Control, 1991., Proceedings of the 30th IEEE Conference on
Conference_Location :
Brighton
Print_ISBN :
0-7803-0450-0
DOI :
10.1109/CDC.1991.261736
