H∞-norm-based optimization for the identification of gray-box LTI state-space model parameters

Autor: Edouard Laroche, Daniel Vizer, Guillaume Mercère, Olivier Prot

Publikováno v: Systems & Control Letters. 92:34-41

In this paper, the challenging problem of determining the unknown parameters of an identifiable LTI state-space representation of a stable system is addressed by resorting to a specific H∞-norm-based optimization algorithm. More specifically, by as

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::afb14091e5b5db739643a1ccc5b701d7
https://doi.org/10.1016/j.sysconle.2016.03.003

An H∞-norm-based approach for operating point selection and LPV model identification from local experiments

Autor: Guillaume Mercère, Daniel Vizer

Publikováno v: Periodica Polytechnica Electrical Engineering and Computer Science
Periodica Polytechnica Electrical Engineering and Computer Science, 2014, 58 (3), ⟨10.3311/PPee.7354⟩

When the identification of linear parameter-varying (LPV) models from local experiments is considered, the question of the necessary number of local operating points as well as the problem of the efficient interpolation of the locally-estimated linea

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::677b19e2c54f5ab76b050c2edff6808d
https://doi.org/10.3311/ppee.7354

LPV modeling and identification of a 2-DOF flexible robotic arm from local experiments using an H∞-based glocal approach

Autor: Edouard Laroche, Guillaume Mercère, Olivier Prot, Daniel Vizer

Publikováno v: Control-oriented Modelling and Identification: Theory and practice ISBN: 9781849196147

This chapter presents a series of methodological contributions for the identification of flexible manipulators from experimental data. The goal of this identification procedure consists more precisely in obtaining reliable LPV models written as linea

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7f95022f206f1fb9b7e413a1675a5175
https://doi.org/10.1049/pbce080e_ch16

Combining Analytic and Experimental Information for Linear Parameter-Varying Model Identifcation: Application to a Flexible Robotic Manipulator

Autor: Daniel Vizer, Guillaume Mercère, Edouard Laroche, Olivier Prot

Publikováno v: Periodica Polytechnica Electrical Engineering and Computer Science
Periodica Polytechnica Electrical Engineering and Computer Science, 2014, 58 (4), pp.133--148. ⟨10.3311/PPee.7503⟩

Identifying a linear parameter-varying (LPV) model of a non-linear system from local experimental data is still a problem which deserves attention. Many difficulties related to the determination of the local models with respect to coherent bases have

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::83bf30ffa2cf81971401de94346b9f0d
https://hal.archives-ouvertes.fr/hal-03206631

A local approach framework for black-box and gray-box LPV system identification

Autor: Olivier Prot, Guillaume Mercère, J. A. Ramos, Daniel Vizer

Publikováno v: ECC

This paper presents a comparison of two techniques dedicated to the identification of LPV systems by using local experiments only. Such an approach can be justified by the fact that, in many practical cases, exciting the scheduling variables persiste

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c53dad3fd9a29c3475825663cac997ee
https://doi.org/10.23919/ecc.2013.6669233