Title :
A stabilizing MPC algorithm using performance bounds from saturated linear feedback
Author_Institution :
Dept. of Electr. Eng., Linkoping Univ., Sweden
Abstract :
We present a method to increase the feasibility in model predictive control (MPC) algorithms that use ellipsoidal terminal state constraints and performance bounds from nominal controllers. The method is based on estimating a bound on the achievable performance with a saturated nominal controller and using this bound in the MPC algorithm. The resulting MPC controller can be implemented efficiently with second order cone programming
Keywords :
discrete time systems; feedback; mathematical programming; performance index; predictive control; stability; cone programming; discrete time systems; model predictive control; performance bounds; saturated linear feedback; stabilisation; Constraint optimization; Control systems; Cost function; Ellipsoids; Linear feedback control systems; Linear systems; State feedback; Uncertainty; Upper bound; World Wide Web;
Conference_Titel :
Decision and Control, 2000. Proceedings of the 39th IEEE Conference on
Conference_Location :
Sydney, NSW
Print_ISBN :
0-7803-6638-7
DOI :
10.1109/CDC.2000.912839
