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INRA
24, chemin de Borde Rouge –Auzeville – CS52627
31326 Castanet Tolosan CEDEX - France

Dernière mise à jour : Mai 2018

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HILGERT Nadine

Directrice de Recherche

Recherche

  • Modélisation et contrôle de systèmes dynamiques stochastiques : 
    • identification paramétrique et non paramétrique de processus autorégressifs
    • analyse statistique pour données fonctionnelles
    • contrôle optimal stochastique - contrôle adaptatif
    • détection statistique de rupture de modèle pour la détection de pannes
  • Activités de recherche pluridisciplinaires :
    • Modélisation et contrôle de procédés biotechnologiques (vinification, dépollution, fermentations lactiques)
    • Gestion de pêcheries
    • Pilotage des communautés biologiques dans les agro-écosystèmes
    • Analyse de courbes de croissance de plantes ou de micro-organismes en fonction de la variabilité du milieu de culture
  • Projets récents : 
    • Phéno-Math-Info (WP leader) dans le cadre de PHENOME (Centre français de phénomique végétal, Infrastructure d'avenir, porté par F. Tardieu, LEPSE, 2012-2020)
    • Ecco des Vergers (Réponse aux perturbations et pilotage des communautés biologiques dans les agro-écosystèmes, Leader : PSH Inra Avignon, 2005-2009)
    • Primo (Peach-Rot Ideotype Modelling, avec GAFL et PSH, Inra Avignon, 2010-2011)
    • Oxyred (Potentiel redox du lait, URTAL Inra Poligny, Danisco, 2007-2008)
    • Stats au Pérou (financement LabEx Numev, 2012-2013)

Enseignante consultante à SupAgro

  • 3e année SupAgro APIMET, Master 3A STIDAD et HORTIMET : Plans d'expérience - Modèle AMMI
  • 2e année Supagro, UE Méthodes statistiques appliquées au vivant
  • 1ere année SupAgro - UE Démarche de modélisation : Modélisation de l'activité fermentaire d'une levure pour une meilleure gestion de la vinification.

Encadrement - Co-encadrement

  • G. Verdier : Supervision de procédés de dépollution biologique : tests statistiques et estimation non paramétrique pour la détection et le diagnostic de pannes. Thèse soutenue en novembre 2007. MdC IUT Pau.
  • I. Grechi : Modélisation écologique et agronomique d'un système « culture fruitière-bioagresseur ». Application à la production intégrée. Thèse soutenue en janvier 2008. Chercheur au Cirad.
  • A. Kadrani : Un outil pour concevoir des systèmes de production durables - le cas du couple pêche/pourriture brune Modélisation d·idéotypes Pêche-Monilia. Post-doc 2010-2011. MdC INSEA Rabat.

Logiciels

  • SOFA : Simulateur en conditions oenologiques de la fermentation alcoolique

Publications et Communications

  • Hilgert N., A. Mas, N. Verzelen, Minimax adaptive tests for the Functional Linear model, Annals of Statistics, 41(2), 838-896, 2013.
  • Grechi I., M.-M. Ould-Sidi, N. Hilgert, R. Senoussi, B. Sauphanor and F. Lescouret, "Designing integrated management scenarios using simulation-based and multi -objective optimization : application to the peach tree-Myzus persicae aphid system", Ecological Modelling, 246, 47-59, 2012.
  • Quilot B., M. Ould Sidi, A. Kadrani, N. Hilgert, M. Génard and F. Lescourret, "Optimization of parameters of the "Virtual Fruit" model to design peach genotype for sustainable production systemsg", Eur. J. Agronomy, 42, 34-48, 2012.
  • Hilgert N. and Portier B.," Strong uniform consistency and asymptotic normality of a kernel based error density estimator in functional autoregressive models", Statistical Inference for StochasticProcesses, 15, 105-125, 2012.
  • Charnomordic B., R. David, D. Dochain, N. Hilgert, J.-R.Mouret, J.-M. Sablayrolles and A. Vande Wouver, "Two modelling approaches of wine-making : first principle and metabolic engineering", Mathematical and Computer Modelling of Dynamical Systems, 16, 6, 535-553, 2010.
  • Grechi I., N. Hilgert, B. Sauphanor, R. Senoussi and F. Lescouret. "Modelling coupled peach tree aphid population dynamics and their control by winter pruning and nitrogen fertilization". Ecological Modelling, 221, 19, 2363-2373, 2010.
  • Hilgert N. and J.A. Minjárez-Sosa, "Estimation and control of stochastic systems under discounted criterion". in : Frontiers in Adaptive Control, IN-TECH, 2009.</li>
  • Jeanson S., N. Hilgert, Coquillard M.O., Seukpanya C., Faiveley M., Neveu P., Abraham C., Georgescu V., Fourcassié P. and Beuvier E., "Milk acidification by Lactococcus lactis is improved by decreasing the level of dissolved oxygen rather than decreasing redox potential in the milk prior to inoculation". Int. J. of Food Microbiology, 131, 1, 75-81, 2009. 
  • J.-P. Dubois, C. Gillet, N. Hilgert and G. Balvay, "Impact of trophic changes of Lake Geneva on the population of Eurasian perch, over the past 45 years". Aquatic Living Resources, 21, 401-410, 2008.
  • Verdier, N. Hilgert and J.-P. Vila, "Optimality of CUSUM rule approximations in change-point detection problems. Application to nonlinear state-space systems", IEEE Transaction on Information Theory, 54, 11, 5102-5112, 2008. 
  • Grechi, I., Sauge, M.H., Sauphanor, B., Hilgert, N., Senoussi, R. and Lescourret, F. "How does winter pruning affect peach tree - Myzus persicae interactions", Entomologia Experimentalis et Applicata, 128, 3, 369-379, 2008.
  • Verdier, G., Hilgert, N. and Vila, J.P., "Adaptive threshold computation for CUSUM-type procedures in change detection and isolation problems", Comp. Stat. and Data Anal., 52, 9, 4161-4174, 2008. 
  • Grechi, I., Hilgert, N., Genard, M. and Lescourret, F. (2008), "Assessing peach fruit refractometric index at harvest with a simple model based on fruit growth", J. Amer. Soc. Hort. Sci., 133, 2, 178-187.
  • Ami, D., Hilgert, N., Pardo S., and Tidball, M. (2008), "Is fishing compatible with environmental conservation ? A stochastic model with an element of self-protection", Natural Resource Modeling, 21, 3, 343-365, 2008. 
  • Hilgert, N., Rossi, V., Wagner V., and Vila, J.P. (2007), "Nonparametric identification and adaptive control of uncertain nonlinear systems", Communications in Statistics - Theory and Methods, 36, 14, 2509-2526.
  • Hilgert, N., and Minjárez-Sosa, J.A. (2006), "Adaptive Control of Stochastic Systems with Unknown Disturbance Distribution : Discounted Criteria", ZOR - Math. Meth. Oper. Res., 63, 3, 443-460. 
  • Malherbe, S., Fromion, V., Hilgert, N., and Sablayrolles, J.-M., (2004), "Modeling the effects of assimilable nitrogen and temperature on fermentation kinetics in enological conditions", Biotech. Bioeng., 86, 3, 261 - 272. 
  • Hilgert, N., and Minjárez-Sosa, J.A. (2003), "Limiting average cost adaptive control problemfor time-varying stochastic systems", Boletin de la Sociedad Matematica Mexicana, 9, 1.
  • Hilgert, N., and Hernández-Lerma, O. (2003), "Bias optimality versus strong 0-discount optimality in Markov control processes with unbounded costs", Acta ApplicandaeMathematicae, 77, 215-235.
  • Hilgert, N., and Minjárez-Sosa, J.A. (2001), "Adaptive policies for time-varying stochastic systems under discounted criterion", ZOR - Math. Meth. Oper. Res., 54, 3, 491-505.
  • Hilgert, N., and Hernández-Lerma, O. (2001), "Limiting average cost control problems in a class of time-varying stochastic systems", Appl. Math., 28, 1, 111-123.
  • Hilgert, N., Senoussi R., and Vila, J.-P. (2001), "Nonparametric identification of controlled nonlinear time varying processes", SIAM Cont. Opt., 39, 3, 950-960.
  • Hilgert, N., Harmand, J., Steyer, J.-P., and Vila, J.-P. (2000), "Nonparametric identification and adaptive control of an anaerobic fluidized bed digester", Control Engineering Practice, 8, 367-376.
  • Hilgert, N., and Hernández-Lerma, O. (2000), "Limiting optimal discounted-cost control of a class of time-varying stochastic systems", Syst. Cont. Lett., 40, 1, 37-42. 
  • Hilgert, N., and Vila, J.-P. (1999), "D-step ahead Kalman predictor for controlled autoregressive processes with random coefficients", Int. J. Appl. Math. and Comp. Sci., 9, 1, 207-217.
  • Hilgert, N., et Portier, B. (1998), "Estimation non paramétrique dans un modèle autorégressif fonctionnel non directement observé". C. R. Acad. Sci. Paris, Série I, 327 :597-600.
  • Hilgert, N., Steyer, J.-P., & Vila, J.-P. (1997), "Identification non paramétrique de processus non linéaires, application à des procédés de dépollution", in : Récents Progrès en Génie des Procédés, Vol. 11, 56 :79-84.
  • Hilgert, N., Senoussi, R., & Vila, J.-P. (1996), "Estimation non paramétrique de suites de fonctions de processus autorégressifs non linéaires", C. R. Acad. Sci. Paris, 323, Série I, p. 1085-1090.