Sensitivity analysis and identification of kinetic parameters in batch fermentation of glycerol
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摘要
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.
论文关键词:Batch culture,Nonlinear dynamical system,Global sensitivity analysis,Parameter identification,Gradient-based algorithm
论文评审过程:Received 11 November 2010, Revised 18 October 2011, Available online 25 November 2011.
论文官网地址:https://doi.org/10.1016/j.cam.2011.11.015