An adaptive observer for time-varying ...
Document type :
Communication dans un congrès avec actes
Title :
An adaptive observer for time-varying nonlinear systems - application to a crop irrigation model
Author(s) :
Dadjo, Gildas [Auteur]
Finite-time control and estimation for distributed systems [VALSE]
Mathématiques, Informatique et STatistique pour l'Environnement et l'Agronomie [MISTEA]
Efimov, Denis [Auteur]
Finite-time control and estimation for distributed systems [VALSE]
Harmand, Jérôme [Auteur]
Laboratoire de Biotechnologie de l'Environnement [Narbonne] [LBE]
Rapaport, Alain [Auteur]
Mathématiques, Informatique et STatistique pour l'Environnement et l'Agronomie [MISTEA]
Ushirobira, Rosane [Auteur]
Finite-time control and estimation for distributed systems [VALSE]
Finite-time control and estimation for distributed systems [VALSE]
Mathématiques, Informatique et STatistique pour l'Environnement et l'Agronomie [MISTEA]
Efimov, Denis [Auteur]

Finite-time control and estimation for distributed systems [VALSE]
Harmand, Jérôme [Auteur]
Laboratoire de Biotechnologie de l'Environnement [Narbonne] [LBE]
Rapaport, Alain [Auteur]
Mathématiques, Informatique et STatistique pour l'Environnement et l'Agronomie [MISTEA]
Ushirobira, Rosane [Auteur]

Finite-time control and estimation for distributed systems [VALSE]
Conference title :
62nd IEEE Conference on Decision and Control
City :
Singapore
Country :
Singapour
Start date of the conference :
2023-12-13
Book title :
IEEE Conference on Decision and Control
HAL domain(s) :
Informatique [cs]/Systèmes et contrôle [cs.SY]
Sciences du Vivant [q-bio]/Sciences agricoles/Agronomie
Sciences du Vivant [q-bio]/Sciences agricoles/Agronomie
English abstract : [en]
We propose an adaptive observer for a class of nonlinear time-varying systems, for which the regressor depends not only on the known inputoutput signals but also on all the unmeasured states. There are state disturbances, ...
Show more >We propose an adaptive observer for a class of nonlinear time-varying systems, for which the regressor depends not only on the known inputoutput signals but also on all the unmeasured states. There are state disturbances, and measurements are corrupted by noise. The Lyapunov function method is used to prove that the coupled system-observer dynamics admits a state-independent input-to-output stability property in estimation errors from unknown inputs. Numerical simulations illustrate the presented approach on a three-dimensional crop irrigation model.Show less >
Show more >We propose an adaptive observer for a class of nonlinear time-varying systems, for which the regressor depends not only on the known inputoutput signals but also on all the unmeasured states. There are state disturbances, and measurements are corrupted by noise. The Lyapunov function method is used to prove that the coupled system-observer dynamics admits a state-independent input-to-output stability property in estimation errors from unknown inputs. Numerical simulations illustrate the presented approach on a three-dimensional crop irrigation model.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
Collections :
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