Interval Prediction for Continuous-Time ...
Type de document :
Communication dans un congrès avec actes
Titre :
Interval Prediction for Continuous-Time Systems with Parametric Uncertainties
Auteur(s) :
Leurent, Edouard [Auteur]
RENAULT
Finite-time control and estimation for distributed systems [VALSE]
Efimov, Denis [Auteur]
Finite-time control and estimation for distributed systems [VALSE]
Raissi, Tarek [Auteur]
Conservatoire National des Arts et Métiers [CNAM] [CNAM]
Perruquetti, Wilfrid [Auteur]
Finite-time control and estimation for distributed systems [VALSE]
RENAULT
Finite-time control and estimation for distributed systems [VALSE]
Efimov, Denis [Auteur]

Finite-time control and estimation for distributed systems [VALSE]
Raissi, Tarek [Auteur]
Conservatoire National des Arts et Métiers [CNAM] [CNAM]
Perruquetti, Wilfrid [Auteur]

Finite-time control and estimation for distributed systems [VALSE]
Titre de la manifestation scientifique :
58th IEEE Conference on Decision and Control
Ville :
Nice
Pays :
France
Date de début de la manifestation scientifique :
2019-12-11
Discipline(s) HAL :
Informatique [cs]/Automatique
Résumé en anglais : [en]
The problem of behaviour prediction for linear parameter-varying systems is considered in the interval framework. It is assumed that the system is subject to uncertain inputs and the vector of scheduling parameters is ...
Lire la suite >The problem of behaviour prediction for linear parameter-varying systems is considered in the interval framework. It is assumed that the system is subject to uncertain inputs and the vector of scheduling parameters is unmeasurable, but all uncertainties take values in a given admissible set. Then an interval predictor is designed and its stability is guaranteed applying Lyapunov function with a novel structure. The conditions of stability are formulated in the form of linear matrix inequalities. Efficiency of the theoretical results is demonstrated in the application to safe motion planning for autonomous vehicles.Lire moins >
Lire la suite >The problem of behaviour prediction for linear parameter-varying systems is considered in the interval framework. It is assumed that the system is subject to uncertain inputs and the vector of scheduling parameters is unmeasurable, but all uncertainties take values in a given admissible set. Then an interval predictor is designed and its stability is guaranteed applying Lyapunov function with a novel structure. The conditions of stability are formulated in the form of linear matrix inequalities. Efficiency of the theoretical results is demonstrated in the application to safe motion planning for autonomous vehicles.Lire moins >
Langue :
Anglais
Comité de lecture :
Oui
Audience :
Internationale
Vulgarisation :
Non
Commentaire :
Webpage: https://eleurent.github.io/interval-prediction/
Collections :
Source :
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- https://hal.inria.fr/hal-02383571/document
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- http://arxiv.org/pdf/1904.04727
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- https://hal.inria.fr/hal-02383571/document
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- https://hal.inria.fr/hal-02383571/document
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- interval_prediction.pdf
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- 1904.04727
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- interval_prediction.pdf
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