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Modeling and parameter estimation of a nonlinear switching system in fed-batch culture with pH feedback

Release Time:2019-03-09  Hits:

Indexed by: Journal Article

Date of Publication: 2012-10-01

Journal: APPLIED MATHEMATICAL MODELLING

Included Journals: Scopus、EI、SCIE

Volume: 36

Issue: 10

Page Number: 4887-4897

ISSN: 0307-904X

Key Words: Fed-batch culture; Nonlinear switching system; Parameter estimation; Parametric sensitivity function; Inequality path constraints; Optimization algorithm

Abstract: In this paper, we propose a nonlinear switching system to formulate the coupled fed-batch culture with pH feedback of glycerol to 1,3-propanediol by Klebsiella pneumoniae and discuss its some basic properties. The parametric sensitivity functions are also given to obtain the derivatives of solutions with respect to the unknown kinetic parameters. To estimate those parameters from the experimental data, we present a parameter estimation problem with inequality path constraints. By constraint transcription and local smoothing technique, the estimation problem is transformed and solved by an optimization algorithm, which is constructed via sensitivity functions approach. Finally, an illustrative numerical example shows the appropriateness of the nonlinear switching system and the validity of optimization algorithm. (C) 2011 Elsevier Inc. All rights reserved.

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