M
Magalie Thomassin
Researcher at University of Lorraine
Publications - 35
Citations - 273
Magalie Thomassin is an academic researcher from University of Lorraine. The author has contributed to research in topics: System identification & Estimator. The author has an hindex of 10, co-authored 33 publications receiving 255 citations. Previous affiliations of Magalie Thomassin include Nancy-Université & Centre national de la recherche scientifique.
Papers
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Journal ArticleDOI
Set membership parameter estimation of fractional models based on bounded frequency domain data
TL;DR: In this paper, the authors deal with parameter estimation of fractional models based on frequency domain uncertain but bounded data and use interval constraints satisfaction problem (CSP) to compare two methods.
Journal ArticleDOI
Proton MR Spectroscopy and Diffusion MR Imaging Monitoring to Predict Tumor Response to Interstitial Photodynamic Therapy for Glioblastoma.
Magali Toussaint,Sophie Pinel,Florent Auger,Nicolas Durieux,Magalie Thomassin,Eloise Thomas,Albert Moussaron,Dominique Meng,François Plénat,Marine Amouroux,Thierry Bastogne,Céline Frochot,Olivier Tillement,François Lux,Muriel Barberi-Heyob +14 more
TL;DR: Following iPDT tumor response by a non-invasive imaging monitoring achieves earlier assessment of tumor response, and identifies promising markers such as the Apparent Diffusion Coefficient values, lipids, choline and myoInositol levels that led to distinguish i PDT responders from non-responders.
Journal ArticleDOI
New consistent methods for order and coefficient estimation of continuous-time errors-in-variables fractional models
Manel Chetoui,Manel Chetoui,Magalie Thomassin,Magalie Thomassin,Rachid Malti,Mohamed Aoun,Slaheddine Najar,Mohamed Naceur Abdelkrim,Alain Oustaloup +8 more
TL;DR: New consistent methods for order and coefficient estimation of continuous-time systems by errors-in-variables fractional models are presented and two estimators based on Higher-Order Statistics (third-order cumulants) are developed.
Journal ArticleDOI
Subspace method for continuous-time fractional system identification
Magalie Thomassin,Rachid Malti +1 more
TL;DR: In this paper, a subspace method for state-space identification of continuous-time systems using fractional commensurate models is proposed. But the method is not suitable for multi-input multi-output (MIMO) systems.
Proceedings ArticleDOI
Multivariable identification of continuous-time fractional system
Magalie Thomassin,Rachid Malti +1 more
TL;DR: In this article, two subspace-based methods, from the MOESP (MIMO output-error state space) family, are presented for state-space identification of continuous-time fractional commensurate models from sampled input-output data.