Robust Output Feedback MPC: An Interval-Observer ...
Document type :
Communication dans un congrès avec actes
Title :
Robust Output Feedback MPC: An Interval-Observer Approach
Author(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
Conference title :
Proc. IEEE CDC 2020
City :
Jeju Island
Country :
Corée du Sud
Start date of the conference :
2020-12-09
HAL domain(s) :
Sciences de l'ingénieur [physics]/Automatique / Robotique
English abstract : [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 ...
Show more >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.Show less >
Show more >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.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
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