On feasible sets for MPC and their approximations

Abstract : In this paper we are interested in the computation of feasible sets for linear model predictive control techniques, based on set relations and not on the conventional orthogonal projection. Further, the problem of computing suitable inner approximations of the feasible sets is considered. Such approximations are characterized by simpler polytopic representations, and preserve essential properties as convexity, positive invariance, inclusion of the set of expected initial states.
Document type :
Journal articles
Complete list of metadatas

https://hal-supelec.archives-ouvertes.fr/hal-00657848
Contributor : Josiane Dartron <>
Submitted on : Monday, January 9, 2012 - 1:43:24 PM
Last modification on : Monday, September 17, 2018 - 3:05:00 PM

Identifiers

Collections

Citation

F. Scibilia, Sorin Olaru, Morten Hovd. On feasible sets for MPC and their approximations. Automatica, Elsevier, 2011, 47 (1), pp.133-139. ⟨10.1016/j.automatica.2010.10.022 ⟩. ⟨hal-00657848⟩

Share

Metrics

Record views

120