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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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Journal Article

Fault diagnosis of non-linear dynamical systems using analytical and soft computing methods

Józef Korbicz
- 01 Jan 2007 - 
TL;DR: The main objective is to show how to employ the bounded-error approach to determine the uncertainty of the GMDH and neuro-fuzzy networks and to show that based on soft computing models uncertainty defined as a confidence range for the model output, adaptive thresholds can be defined.
Journal ArticleDOI

Modelling the production of soluble hydrogenase in Ralstonia eutropha by on-line optimal experimental design*

Flavia Neddermeyer, +4 more
- 01 Jan 2016 - 
TL;DR: In this article, a case study on integrating a new model extension describing the production of the enzyme soluble hydrogenase (SH) into an already existing model by means of on-line optimal experimental design (OED) is presented.
Posted Content

Sloppy models can be identifiable

Oana Chiş, +2 more
- 06 Mar 2014 - 
TL;DR: The results indicate that sloppiness is not equivalent to lack of structural or practical identifiability (although they can be related), so sloppy models can be identifiable.
Dissertation

Parameter and topology uncertainty for optimal experimental design

David Robert Hagen
TL;DR: The development and application of several algorithms for simulation, quantification of uncertainty, and optimal experimental design for reducing uncertainty are described, including a method for quickly and accurately approximating the probability distribution over a set of topologies given a particular data set.
Proceedings ArticleDOI

Modeling a Vehicle Using Bond Graphs

E.H. Sandoval
TL;DR: In this article, a two-wheeled vehicle model with the dynamics of roll, tire relaxation and wheels induced angles is described and a bond graph model is built step by step from the resulting equations in order to facilitate analysis, simulation and further developments.