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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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Identification of neural dynamic models for fault detection and isolation: the case of a real sugar evaporation process
Krzysztof Patan,Thomas Parisini +1 more
TL;DR: In this article, the authors proposed a fault detection and isolation system for industrial processes using dynamic neural networks, which has a feed-forward multi-layer structure and dynamic characteristics are obtained by using dynamic neuron models.
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Optimal Experimental Design for Parameterization of an Electrochemical Lithium-Ion Battery Model
TL;DR: In this article, the authors consider the problem of optimally designing an excitation input for parameter identification of an electrochemical Li-ion battery model, and propose a general systematic approach to identify the electrochemical parameters in a non-invasive way.
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Modelling and analysis of complex food systems: State of the art and new trends
TL;DR: The need for nonlinear, dynamic, multi-physics and multi-scale representations of food systems is established in this article and current difficulties in building such models are reviewed: incomplete, piecewise available knowledge, spread out among different disciplines (physics, chemistry, biology and consumer science) and contributors (scientists, experts, process operators, process managers), scarcity, uncertainty and high cost of measured data, complexity of phenomena and intricacy of time and space scales.
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Synchronisation based adaptive parameter identification for permanent magnet synchronous motors
L. Liu,D.A. Cartes +1 more
TL;DR: In this article, an adaptive synchronisation based parameter identification method for the permanent magnet synchronous motors (PMSM) with a nonlinear structure is proposed, where the PMSM's dynamic response is synchronised with another system of similar dynamic structure.
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Linking Models and Experiments
Dominique Bonvin,Christos Georgakis,Constantinos C. Pantelides,Massimiliano Barolo,Martha A. Grover,Diogo Rodrigues,René Schneider,Denis Dochain +7 more
TL;DR: It is argued that there are still substantial challenges to be addressed along the lines of model structure selection, identifiability, experiment design, nonlinear parameter estimation, model validation, model improvement, online model adaptation, model portability, modeling of complex systems, numerical methods, software environments, and implementation aspects.