Robust Output Feedback MPC: An Interval-Observer ...
Type de document :
Communication dans un congrès avec actes
Titre :
Robust Output Feedback MPC: An Interval-Observer Approach
Auteur(s) :
Reis de Souza, Alex [Auteur]
Finite-time control and estimation for distributed systems [VALSE]
Efimov, Denis [Auteur]
Finite-time control and estimation for distributed systems [VALSE]
Raïssi, Tarek [Auteur]
CEDRIC. Traitement du signal et architectures électroniques [CEDRIC - LAETITIA]
Ping, Xubin [Auteur]
Xidian University
Finite-time control and estimation for distributed systems [VALSE]
Efimov, Denis [Auteur]

Finite-time control and estimation for distributed systems [VALSE]
Raïssi, Tarek [Auteur]
CEDRIC. Traitement du signal et architectures électroniques [CEDRIC - LAETITIA]
Ping, Xubin [Auteur]
Xidian University
Titre de la manifestation scientifique :
Proc. IEEE CDC 2020
Ville :
Jeju Island
Pays :
Corée du Sud
Date de début de la manifestation scientifique :
2020-12-09
Discipline(s) HAL :
Sciences de l'ingénieur [physics]/Automatique / Robotique
Résumé en anglais : [en]
In this work, we address the problem of output-feedback Model Predictive Control (MPC) of constrained, linear, discrete-time systems corrupted by additive perturbations on both state and output. The use of estimated variables ...
Lire la suite >In this work, we address the problem of output-feedback Model Predictive Control (MPC) of constrained, linear, discrete-time systems corrupted by additive perturbations on both state and output. The use of estimated variables in MPC is challenging and computationally expensive due to constraint satisfaction. To overcome this issue, the proposed approach incorporates interval observers on the MPC scheme to cope with uncertainty, leading to a novel, simple and very intuitive methodology providing robust constraint satisfaction with reduced computational complexity.Lire moins >
Lire la suite >In this work, we address the problem of output-feedback Model Predictive Control (MPC) of constrained, linear, discrete-time systems corrupted by additive perturbations on both state and output. The use of estimated variables in MPC is challenging and computationally expensive due to constraint satisfaction. To overcome this issue, the proposed approach incorporates interval observers on the MPC scheme to cope with uncertainty, leading to a novel, simple and very intuitive methodology providing robust constraint satisfaction with reduced computational complexity.Lire moins >
Langue :
Anglais
Comité de lecture :
Oui
Audience :
Internationale
Vulgarisation :
Non
Collections :
Source :
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