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Date:2019-03-09

Indexed by:Journal Article

Date of Publication:2012-03-01

Journal:JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS

Included Journals:EI、SCIE

Volume:236

Issue:9

Page Number:2268-2276

ISSN:0377-0427

Key Words:Batch culture; Nonlinear dynamical system; Global sensitivity analysis; Parameter identification; Gradient-based algorithm

Abstract:A nonlinear dynamical system was established in our preceding work to describe the batch and continuous bioconversions of glycerol to 1,3-propanediol by Klebsiella pneumoniae. The purpose of this article is to analyze the sensitivity of kinetic parameters of the dynamical system and identify their values from experiment. A global sensitivity analysis approach is constructed by combining the local technique with the Monte Carlo method. With only those parameters of higher sensitivity as design variables, we propose a parameter identification model and solve it by a gradient-based simulated annealing algorithm. Numerical results show that our methods are feasible and efficient. (C) 2011 Elsevier B.V. All rights reserved.