Open AccessBook
Identification of parametric models : from experimental data
Eric Walter,Luc Pronzato +1 more
About:
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
Citations
More filters
Journal ArticleDOI
Discussion of “Assessing Parameter Identifiability of Activated Sludge Model Number 1” by Pedro Afonso and Maria da Conceição Cunha
Dirk J.W. De Pauw,Gürkan Sin,Güçlü Insel,Stijn Van Hulle,Véronique Vandenberghe,Peter A. Vanrolleghem +5 more
Proceedings ArticleDOI
Optimal Input Design for Parameter Identification in an Electrochemical Li-ion Battery Model
TL;DR: This work analytically derive sensitivity equations for the electrochemical model and designs an optimal input trajectory that maximizes parameter identifiability, enabling parameter sensitivity analysis and optimal parameter fitting via a gradient-based algorithm.
Dissertation
Contribution à l'identification et à la commande des robots parallèles
TL;DR: In this paper, the authors propose deux approches for identifier ces parametres: une premiere approche par moindres carres ponderes and une deuxieme approche dans un contexte a erreur bornee qui fourni un ensemble solution garantie.
Proceedings ArticleDOI
Adaptive input design for ARX systems
TL;DR: In this paper, the authors provide formal results for convergence and asymptotic optimality of an adaptive input design method based on the certainty equivalence principle, i.e. for each time step an optimal input design problem is solved using the present parameter estimate and one sample of this input is applied to the system.
Journal ArticleDOI
Robust fault detection using neuro-fuzzy networks
Marek Kowal,Józef Korbicz +1 more
TL;DR: The main objective of the work is to show how to employ bounding error approach to determine the uncertainty of the neuro-fuzzy model and next utilize this knowledge for robust fault detection.