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【答案】应助回帖
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感谢参与，应助指数 +1
nandehutu9327: 金币+10, ★★★★★最佳答案 2019-03-08 19:33:03
心静_依然: LS-EPI+1, 感谢应助 2019-03-12 13:10:01
A Two-Stage Method for Parameter Identification of a Nonlinear System in a Microbial Batch Process
作者:Xu, GX (Xu, Gongxian)[ 1 ] ; Lv, DX (Lv, Dongxue)[ 1 ] ; Tan, WX (Tan, Wenxin)[ 1 ]
APPLIED SCIENCES-BASEL
卷: 9 期: 2
文献号: 337
DOI: 10.3390/app9020337
出版年: JAN 2 2019
文献类型:Article
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摘要
This paper deals with the parameter identification of a microbial batch process of glycerol to 1,3-propanediol (1,3-PD). We first present a parameter identification model for the excess kinetics of a microbial batch process of glycerol to 1,3-PD. This model is a nonlinear dynamic optimization problem that minimizes the sum of the least-square and slope errors of biomass, glycerol, 1,3-PD, acetic acid, and ethanol. Then, a two-stage method is proposed to efficiently solve the presented dynamic optimization problem. In this method, two nonlinear programming problems are required to be solved by a genetic algorithm. To calculate the slope of the experimental concentration data, an integral equation of the first kind is solved by using the Tikhonov regularization. The proposed two-stage method could not only optimally identify the model parameters of the biological process, but could also yield a smaller error between the measured and computed concentrations than the single-stage method could, with a decrease of about 52.79%. A comparative study showed that the proposed two-stage method could obtain better identification results than the single-stage method could.
关键词
作者关键词:microbial batch process; parameter identification; optimization problem; nonlinear programming; numerical differentiation; genetic algorithm
KeyWords Plus:1,3-PROPANEDIOL PRODUCTION; KLEBSIELLA-PNEUMONIAE; GLYCEROL; OPTIMIZATION; DISSIMILATION; BIOCONVERSION; MULTIPLICITY; FERMENTATION; SUBSTRATE; CULTURE
作者信息
通讯作者地址: Xu, GX (通讯作者)
显示更多 Bohai Univ, Dept Math, 19 Keji Rd, Jinzhou 121013, Peoples R China.
地址:
显示更多 [ 1 ] Bohai Univ, Dept Math, 19 Keji Rd, Jinzhou 121013, Peoples R China
电子邮件地址:gxxu@bhu.edu.cn; dutxgx@aliyun.com; isopeisope@aliyun.com
基金资助致谢
基金资助机构 授权号
National Natural Science Foundation of China
11101051
Liaoning Provincial Natural Science Foundation of China
20180550839
Basic Research Fund of Liaoning Education Department
LF2017002
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出版商
MDPI, ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
期刊信息
Impact Factor (影响因子): Journal Citation Reports
类别 / 分类
研究方向:Chemistry; Materials Science; Physics
Web of Science 类别:Chemistry, Multidisciplinary; Materials Science, Multidisciplinary; Physics, Applied
文献信息
语言:English
入藏号: WOS:000459436300127
ISSN: 2076-3417
其他信息
IDS 号: HM4IG
Web of Science 核心合集中的 "引用的参考文献": 31
Web of Science 核心合集中的 "被引频次": 0
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