Title :
A computationally efficient constrained predictive control law
Author :
Rossiter, J.A. ; Rice, M.J. ; Schuurmans, J. ; Kouvaritakis, B.
Author_Institution :
Dept. of Math. Sci., Loughborough Univ., UK
Abstract :
A predictive control algorithm is presented that uses a weighted sum of linear quadratic (LQ) optimal predictions and `mean level´ predictions. Each time step only a single weighting parameter is solved for using a linear program problem hence giving a low computational load. The controller achieves LQ-optimality when constraints are inactive, and remains feasible (under mild conditions) if constraints are active
Keywords :
linear programming; linear quadratic control; predictive control; LQ-optimality; computationally efficient constrained predictive control law; linear quadratic optimal predictions; mean level predictions; weighting parameter; Ear; Equations; Feedback control; Interpolation; Prediction algorithms; Predictive control; Predictive models; Quadratic programming; Regulators; Strain control;
Conference_Titel :
American Control Conference, 1998. Proceedings of the 1998
Conference_Location :
Philadelphia, PA
Print_ISBN :
0-7803-4530-4
DOI :
10.1109/ACC.1998.703181