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Identification of parametric models : from experimental data
Eric Walter,Luc Pronzato +1 more
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The article was published on 1997-01-01 and is currently open access. It has received 1251 citations till now. The article focuses on the topics: Parametric model & Experimental data.read more
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Proceedings ArticleDOI
Evaluation of Intelligent Greenhouse Climate Control System, Based Fuzzy Logic in Relation to Conventional Systems
TL;DR: The results show that the proposed Fuzzy Logic Controller is very user friendly, easy to design, highly adaptable and quick to perform.
Journal ArticleDOI
Multilevel latent variable modeling : An application in educational testing
TL;DR: In this article, a multilevel mixture item response model was used to cluster schools based on the students' latent abilities and the item difficulties, and it was shown that parameters can be estimated by maximum likelihood using a special variant of the EM algorithm.
Journal ArticleDOI
Identifiability Analysis of Three Control-Oriented Models for Use in Artificial Pancreas Systems.
TL;DR: This study shows that both structural and practical identifiability analysis need to be considered prior to the model identification/individualization in patients with T1D.
Journal ArticleDOI
Getting the most out of it: Optimal experiments for parameter estimation of microalgae growth models
Rafael Muñoz-Tamayo,Pierre Martinon,Gaël Bougaran,Francis Mairet,Olivier Bernard,Olivier Bernard +5 more
TL;DR: In this paper, the authors provide guidelines for the design of experiments with high informative content based on optimal experiment techniques to attain an accurate parameter estimation, which can be exploited for parameter estimation.
Journal ArticleDOI
Parameter estimation in a nonlinear dynamic model of an aquatic ecosystem with meta-heuristic optimization
TL;DR: An empirical comparison of four meta-heuristic optimization methods for parameter estimation in a nonlinear dynamic model of an aquatic ecosystem finds that differential evolution yields the best results in terms of quality of the reconstructed system dynamics as well as speed of convergence.