Title :
Recursive feasibility guarantees in move-blocking MPC
Author :
Gondhalekar, Ravi ; Imura, Jun-ichi
Author_Institution :
Tokyo Inst. of Technol., Tokyo
Abstract :
A method for enforcing recursive feasibility in time-invariant offset-move-blocking MPC schemes is proposed. The method constrains the state at the first prediction step to a controlled invariant feasible set, introduced recently by the authors for enforcing recursive feasibility in input-move- blocking MPC. Two algorithms for the determination of maximal controlled invariant feasible sets are presented. In the case of stabilizable, linear, time-invariant plants with time-invariant, polytopic constraints, both algorithms are semi-decidable. In situations where using one algorithm alone does not lead to decidability, both algorithms can be used together to determine a controlled invariant feasible under-approximation of the maximal controlled invariant feasible set to arbitrary accuracy.
Keywords :
linear systems; predictive control; recursive estimation; set theory; stability; controlled invariant feasible set; model predictive control; recursive feasibility; stabilizable linear time-invariant plants; time-invariant offset-move-blocking MPC schemes; Computational complexity; Control systems; Informatics; Information science; Optimal control; Predictive control; Predictive models; Regulators; Sufficient conditions; Trajectory; Model predictive control; constrained control; feasibility; set invariance;
Conference_Titel :
Decision and Control, 2007 46th IEEE Conference on
Conference_Location :
New Orleans, LA
Print_ISBN :
978-1-4244-1497-0
Electronic_ISBN :
0191-2216
DOI :
10.1109/CDC.2007.4434747