Proceedings of the 40th IEEE Conference on Decision and Control (Cat. No.01CH37228)
DOI: 10.1109/.2001.980972
|View full text |Cite
|
Sign up to set email alerts
|

End-point parametrization and guaranteed stability for a model predictive control scheme

Abstract: In this paper we consider the closed-loop asymptotic stability of the model predictive control scheme which involves the minimization of a quadratic criterion with a varying weight on the end-point state. In particular, we investigate the stability properties of the (MPC-) controlled system as function of the end-point penalty and provide a useful parametrization of the class of end-point penalties for which stability of the controlled system can be guaranteed. The results are successfully applied for the impl… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Publication Types

Select...
3
1

Relationship

1
3

Authors

Journals

citations
Cited by 4 publications
(1 citation statement)
references
References 18 publications
0
1
0
Order By: Relevance
“…The main result of this section is a useful and explicit parametrization of a class of end-point penalties for which exponential stability of the MPC controlled system can be guaranteed. This result appeared separately in [54].…”
Section: Receding Horizon Controlmentioning
confidence: 78%
“…The main result of this section is a useful and explicit parametrization of a class of end-point penalties for which exponential stability of the MPC controlled system can be guaranteed. This result appeared separately in [54].…”
Section: Receding Horizon Controlmentioning
confidence: 78%