LPV-ARX representations for LPV State-Space ...
Document type :
Article dans une revue scientifique
DOI :
Title :
LPV-ARX representations for LPV State-Space Representations with Affine Dependence
Author(s) :
Petreczky, Mihaly [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Toth, Roland [Auteur]
Mercere, Guillaume [Auteur]
Laboratoire d'Informatique et d'Automatique pour les Systèmes [LIAS]

Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Toth, Roland [Auteur]
Mercere, Guillaume [Auteur]
Laboratoire d'Informatique et d'Automatique pour les Systèmes [LIAS]
Journal title :
SSRN Electronic Journal
Publication date :
2022-05-20
HAL domain(s) :
Informatique [cs]/Automatique
Mathématiques [math]/Optimisation et contrôle [math.OC]
Mathématiques [math]/Optimisation et contrôle [math.OC]
English abstract : [en]
In this paper we show that an input-output function can be realized by an LPV state-space representation with affine and static dependence on the scheduling parameters, if and only if this input-output function satisfies ...
Show more >In this paper we show that an input-output function can be realized by an LPV state-space representation with affine and static dependence on the scheduling parameters, if and only if this input-output function satisfies certain LPV autoregressive input-output equations. The latter class of equations is linear in the derivatives (for continuous-time) or time-shifts (for discrete-time) of the outputs and control inputs, while the coefficients are polynomials of the shifts of the scheduling variable in discrete-time, or of the high-order derivatives of the scheduling variable in continuous-time. This result is a generalization of the well-known equivalence between linear state-space representations and autoregressive input-output models. Moreover, this result extends the results of [1] on LPV state-space representations with a dynamic and meromorphic dependence on the scheduling parameters to LPV state-space representations with a static and affine dependence on the scheduling parameters.Show less >
Show more >In this paper we show that an input-output function can be realized by an LPV state-space representation with affine and static dependence on the scheduling parameters, if and only if this input-output function satisfies certain LPV autoregressive input-output equations. The latter class of equations is linear in the derivatives (for continuous-time) or time-shifts (for discrete-time) of the outputs and control inputs, while the coefficients are polynomials of the shifts of the scheduling variable in discrete-time, or of the high-order derivatives of the scheduling variable in continuous-time. This result is a generalization of the well-known equivalence between linear state-space representations and autoregressive input-output models. Moreover, this result extends the results of [1] on LPV state-space representations with a dynamic and meromorphic dependence on the scheduling parameters to LPV state-space representations with a static and affine dependence on the scheduling parameters.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
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