DocumentCode
2827269
Title
Recursive feasibility guarantees in move-blocking MPC
Author
Gondhalekar, Ravi ; Imura, Jun-ichi
Author_Institution
Tokyo Inst. of Technol., Tokyo
fYear
2007
fDate
12-14 Dec. 2007
Firstpage
1374
Lastpage
1379
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 2007 46th IEEE Conference on
Conference_Location
New Orleans, LA
ISSN
0191-2216
Print_ISBN
978-1-4244-1497-0
Electronic_ISBN
0191-2216
Type
conf
DOI
10.1109/CDC.2007.4434747
Filename
4434747
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