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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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Smart sensor to predict retail fresh fish quality under ice storage
Míriam R. García,Marta López Cabo,J.R. Herrera,Graciela Ramilo-Fernández,Antonio A. Alonso,Eva Balsa-Canto +5 more
TL;DR: In this article, the authors proposed a smart quality sensor which combines information of biochemical and microbial spoilage indexes with dynamic models to predict quality in terms of the QIM and EU grading criteria.
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Optimal field reconstruction of distributed process systems from partial measurements
TL;DR: A systematic approach for efficient field reconstruction in distributed process systems from a limited number of measurements exploiting the dissipative nature of the diffusion-convection process and the underlying algebraic structure of the finite element method to efficiently construct field representations in terms of globally defined basis functions and to optimally select the placement of sensors.
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Identification of Parameterized Gray-Box State-Space Systems: From a Black-Box Linear Time-Invariant Representation to a Structured One
TL;DR: It is proved that the global solutions of these two optimization problems are unique, and the proposed algorithms are presented, along with an example of a physical system.
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Random field representations for stochastic elliptic boundary value problems and statistical inverse problems
Anthony Nouy,Christian Soize +1 more
TL;DR: In this article, an unknown non-Gaussian positive matrix-valued random field can be identified through a stochastic elliptic boundary value problem, solving a statistical inverse problem.
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Optimal Design of a Population Pharmacodynamic Experiment for Ivabradine
TL;DR: A population pharmacodynamic trial design is presented that is more parsimonious than the original study and would be appropriate for inclusion in a premarketing clinical study.