Experimental evaluation of an approach to online redesign of experiments for parameter determination
Barz, T, López Cárdenas, DC, Arellano-Garcia, H and Wozny, G (2013) Experimental evaluation of an approach to online redesign of experiments for parameter determination AIChE Journal, 59 (6). pp. 1830-2266.
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The online redesign of experiments for parameter determination of nonlinear dynamic systems has been studied recently by different research groups. In this article, this technique is assessed in a real case study for the first time. The presented algorithm adopts well-known concepts from model-based control. Compared to previous studies, special attention is given to the efficient treatment of the underlying nonlinear and possibly ill-conditioned parameter estimation and experiment design problems. These problems are solved with single shooting and gradient-based nonlinear programming (NLP) solvers. We use an initial value solver, which generates first- and second-order sensitivities to compute exact derivatives of the problem functions. As a special feature, we propose the integration of a local parameter identifiability analysis and a corresponding algorithm that generates well-conditioned problems. The practical applicability is demonstrated by experimental application to a chromatography column system where A, D, and E optimal experiments are performed.
|Subjects :||Chemical Engineering|
|Divisions :||Faculty of Engineering and Physical Sciences > Chemical and Process Engineering|
|Date :||June 2013|
|Identification Number :||https://doi.org/10.1002/aic.13957|
|Copyright Disclaimer :||© 2012 American Institute of Chemical Engineers|
|Depositing User :||Symplectic Elements|
|Date Deposited :||24 Aug 2016 14:30|
|Last Modified :||24 Aug 2016 14:30|
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