FILTREX: A new software for parametric identification and optimal sampling of experiments for complex microbiological dynamic systems by nonlinear filtering - INRAE - Institut national de recherche pour l’agriculture, l’alimentation et l’environnement
Conference Papers Year : 2011

FILTREX: A new software for parametric identification and optimal sampling of experiments for complex microbiological dynamic systems by nonlinear filtering

Abstract

At the 6th ICPMF Gauchi et al. (2009) considered the issue of the identification of complex microbiological dynamic systems and the possibility offered by particle nonlinear filtering to tackle this problem. As the computations involved in this identification approach are rather sophisticated, it is crucial for microbiologists to have access to a user-friendly software for managing them. We present in this 7th ICPMF the FILTREX software, based on Matlab language (Bidot et al., 2009) for reaching several objectives in the predictive microbiology context.
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Dates and versions

hal-02747013 , version 1 (03-06-2020)

Identifiers

  • HAL Id : hal-02747013 , version 1
  • PRODINRA : 50060

Cite

Jean-Pierre Gauchi, Jean-Pierre Vila, Caroline C. Bidot, E. Atlijani, Louis Coroller, et al.. FILTREX: A new software for parametric identification and optimal sampling of experiments for complex microbiological dynamic systems by nonlinear filtering. 7th International Conference on Predictive Modelling of Food Quality and Safety (ICPMF7), Sep 2011, Dublin, Ireland. ⟨hal-02747013⟩
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