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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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Book ChapterDOI

Algorithms: A Survey

TL;DR: In this paper, the authors consider the maximization of a design criterion ϕ( ⋅) with respect to ξ ∈ Ξ, the set of probability measures on \(\mathcal{X}\) compact.
Proceedings ArticleDOI

Optimal trajectories of mobile remote sensors for parameter estimation in distributed Cyber-Physical Systems

TL;DR: A method to obtain the optimal trajectories of a team of robots monitoring a distributed parameter system located in a different domain by minimizing the D-optimality criteria associated with the expected accuracy of the obtained parameter values is presented.
Journal ArticleDOI

Ill-conditioned problems of dam safety monitoring models and their processing methods

TL;DR: It is shown that safety monitoring models are not easy to be ill-conditioned if the number of influence factors is less than seven, and the treatments proposed in this paper are effective in removing the ill- Conditioned problems.
Proceedings ArticleDOI

Sensor network scheduling for identification of spatially distributed processes

TL;DR: In this article, a simple node activation strategy is discussed for the design of a sensor network deployed in a spatial domain that is supposed to be used while detecting changes in the underlying parameters.
Journal ArticleDOI

Estimating polymer/solvent diffusion coefficient by optimization procedure

TL;DR: In this paper, a method based on simple gravimetric experiments coupled with the modelization of the drying kinetics and an optimization iterative procedure is developed to estimate solvent diffusion coefficients on a large concentration domain.