Robust output feedback MPC for LPV systems ...
Document type :
Compte-rendu et recension critique d'ouvrage
DOI :
Title :
Robust output feedback MPC for LPV systems using interval observers
Author(s) :
Dos 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]
Centre d'études et de recherche en informatique et communications [CEDRIC]
Finite-time control and estimation for distributed systems [VALSE]
Efimov, Denis [Auteur]

Finite-time control and estimation for distributed systems [VALSE]
Raïssi, Tarek [Auteur]
Centre d'études et de recherche en informatique et communications [CEDRIC]
Journal title :
IEEE Transactions on Automatic Control
Publisher :
Institute of Electrical and Electronics Engineers
Publication date :
2021-07-26
ISSN :
0018-9286
English keyword(s) :
Predictive control
robust control
output feedback
robust control
output feedback
HAL domain(s) :
Sciences de l'ingénieur [physics]/Automatique / Robotique
English abstract : [en]
This work addresses the problem of robust output feedback model predictive control for discrete-time, constrained, linear parameter-varying systems subject to (bounded) state and measurement disturbances. The vector of ...
Show more >This work addresses the problem of robust output feedback model predictive control for discrete-time, constrained, linear parameter-varying systems subject to (bounded) state and measurement disturbances. The vector of scheduling parameters is assumed to be an unmeasurable signal taking values in a given compact set. The proposed controller incorporates an interval observer, that uses the available measurement to update the setmembership estimation of the states, and an interval predictor, used in the prediction step of the MPC algorithm. The resulting MPC scheme offers guarantees on recursive feasibility, constraint satisfaction, and input-to-state stability in the terminal set. Furthermore, this novel algorithm shows low computation complexity and ease of implementation (similar to conventional MPC schemes).Show less >
Show more >This work addresses the problem of robust output feedback model predictive control for discrete-time, constrained, linear parameter-varying systems subject to (bounded) state and measurement disturbances. The vector of scheduling parameters is assumed to be an unmeasurable signal taking values in a given compact set. The proposed controller incorporates an interval observer, that uses the available measurement to update the setmembership estimation of the states, and an interval predictor, used in the prediction step of the MPC algorithm. The resulting MPC scheme offers guarantees on recursive feasibility, constraint satisfaction, and input-to-state stability in the terminal set. Furthermore, this novel algorithm shows low computation complexity and ease of implementation (similar to conventional MPC schemes).Show less >
Language :
Anglais
Popular science :
Non
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