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Identification of parametric models : from experimental data

Eric Walter, +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.

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Dissertation

Minimally Invasive Characterization of Lithium Iron Phosphate Battery Electrochemical and Health Models using Fisher Information and Optimal Experimental Design.

TL;DR: In this paper, the authors present a survey of the state-of-the-art tools and techniques used in the development of the HOGA algorithm and its application in the field of artificial intelligence.
Journal ArticleDOI

A mathematical model to predict early quality attributes in hake during storage at low temperature

TL;DR: A model describing the evolution of the adenosine triphosphate (ATP) degradation products, typically used as early indicators of fish quality loss, during storage and transport conditions, is developed following a modular approach.
Journal ArticleDOI

Performance assessment of the anticipatory approach to optimal experimental design for model discrimination

TL;DR: Compared with other approaches to optimal experimental design for model discrimination, the anticipatory approach has its benefits and may be the preferred approach in many applications in (bio)chemical engineering and in-silico biology.
Proceedings ArticleDOI

Continuous-time model identification from noisy input/output measurements using fourth-order cumulants

TL;DR: In this paper, the problem of identifying stochastic linear continuous-time systems from noisy input/output data is addressed and two estimators based on this noise-cancellation property are proposed.