relation: http://eprints.imtlucca.it/1208/
title: Robust model predictive control with integral sliding mode in continuous-time sampled-data nonlinear systems
creator: Rubagotti, Matteo
creator: Raimondo, Davide Martino
creator: Ferrara, Antonella
creator: Magni, Lalo
subject: QA75 Electronic computers. Computer science
subject: TJ Mechanical engineering and machinery
description: This paper proposes a control strategy for nonlinear constrained continuous-time uncertain systems which combines robust model predictive control (MPC) with sliding mode control (SMC). In particular, the so-called Integral SMC approach is used to produce a control action aimed to reduce the difference between the nominal predicted dynamics of the closed-loop system and the actual one. In this way, the MPC strategy can be designed on a system with a reduced uncertainty. In order to prove the stability of the overall control scheme, some general regional input-to-state practical stability results for continuous-time systems are proved.
publisher: IEEE 
date: 2011-03
type: Article
type: PeerReviewed
identifier:   Rubagotti, Matteo and Raimondo, Davide Martino and Ferrara, Antonella and Magni, Lalo  Robust model predictive control with integral sliding mode in continuous-time sampled-data nonlinear systems.  IEEE Transactions on Automatic Control , 56 (3).  556 -570.  ISSN 0018-9286      (2011)  
relation: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5570914&isnumber=5725246
relation: 10.1109/TAC.2010.2074590