Optimal identification experiment design for LPV systems using the local approach

In this paper, we consider the problem of optimally designing the experimental conditions for LPV system identification with the local approach. Such an LPV system identification experiment is characterized by a number of local LTI identification experiments performed at constant values of the scheduling variable. The main contribution of this paper is to determine these constant values of the scheduling variable as well as the input spectra of the corresponding local LTI identification experiments in order to obtain a user-defined model accuracy with the least input energy.

Mots clés

Optimal identification experiment design LPV system identification

Domaines

Energie électrique

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GHOSH_BOMBOIS_HUILLERY_et_al_2017.pdf (589.96 Ko)

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https://hal.science/hal-01720097

Soumis le : jeudi 25 avril 2019-11:55:58

Dernière modification le : vendredi 7 juin 2024-09:46:03

Dates et versions

hal-01720097 , version 1 (25-04-2019)

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Identifiants

HAL Id : hal-01720097 , version 1
DOI : 10.1016/j.automatica.2017.10.013

Citer

Debarghya Ghosh, Xavier Bombois, Julien Huillery, Gérard Scorletti, Guillaume Mercère. Optimal identification experiment design for LPV systems using the local approach. Automatica, 2018, 87, pp.258 - 266. ⟨10.1016/j.automatica.2017.10.013⟩. ⟨hal-01720097⟩

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