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Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.13/920823

Title
On the stability of MPC with a finite input alphabet
Author/Creator
Aguilera, Ricardo P.;  Quevedo, Daniel E.
Description
This paper studies stability of Model Predictive Control for systems with a finite input alphabet. Since this kind of systems may present a steady-state error under closed-loop control, the forms is on stability in the sense of ultimate boundedness of solutions. To derive sufficient conditions for stability, two different approaches are presented. The first one approximates the finite input alphabet via saturation-control allowing us to analyze the problem from a robust control perspective. In the second approach, a direct analysis of the problem is carried out. The results thus obtained are shown to be less conservative regarding ultimate bounded set than those obtained via the robust control approach.
Relation
18th International Federation of Automatic Control (IFAC) World Congress. Proceedings of the 18th World Congress: The International Federation of Automatic Control (Milano, Italy 28 August - 2 September, 2011) p. 7975-7980
Publisher Link
http://dx.doi.org/10.3182/20110828-6-IT-1002.02705
Date
2011
Publisher
International Federation of Automatic Control (IFAC)
Keyword(s)
quantization;  model predictive control;  stability;  ultimate boundedness
Resource Type
conference paper
Identifier
http://hdl.handle.net/1959.13/920823
Identifier
ISBN:9783902661937
Identifier
ISSN:1474-6670
Language
eng
Reviewed
Reviewed
 
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"On the stability of MPC with a finite input alphabet"
 
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