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nandehutu9327至尊木虫 (职业作家)
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[求助]
求助论文的SCI检索号，谢谢！
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A two-stage method for parameter identification of a nonlinear system in a microbial batch process 求助论文的SCI检索号,谢谢！ |
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baiyuefei
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nandehutu9327: 金币+10, ★★★★★最佳答案 2019-03-08 19:33:03
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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
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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 查看期刊影响力 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 查看基金资助信息 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 查看较少数据字段 |
2楼2019-03-08 13:49:29
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