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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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Proceedings ArticleDOI
Sensor scheduling with selection of input experimental conditions for identification of distributed systems
Maciej Patan,Dariusz Ucinski +1 more
TL;DR: An approach to sensor scheduling problem in the context of proper choice of both the experimental settings and sensor locations that will be used to identify unknown parameters of a distributed system is presented and an efficient computational scheme based on the branch-and-bound method is provided.
Journal ArticleDOI
A reconstruction of object properties with significant uncertainties
TL;DR: An approach is developed to read and simulate experimental data using inverse problems to demonstrate the effectiveness of the sequential regularized solutions to the inverse problems for the case of acting at once all the known features of ill-posed problems.
Dissertation
A proposal for the diagnosis of uncertain dynamic systems based on interval models
TL;DR: The aim of this thesis is to propose a methodology for fault detection, isolation and identification based on interval models that includes some algorithms to obtain in an automatic way the symbolic expression of the residual generators enhancing the structural isolability of the faults, in order to design the fault detection tests.
Journal ArticleDOI
Robust Model Selection: Flatness-Based Optimal Experimental Design for a Biocatalytic Reaction
Moritz Schulze,René Schenkendorf +1 more
TL;DR: This paper is the first to exploit differential flatness for model selection problems under uncertainty, and thus translates the model selection problem to advanced concepts of systems theory and controllability aspects, respectively.
Proceedings Article
Consistent reconstruction of the input of an oversampled filter bank from noisy subbands
TL;DR: In this paper, a reconstruction approach for the input signal of an oversampled filter bank (OFB) when the sub-bands generated at its output are quantized and transmitted over a noisy channel is introduced.