个人信息Personal Information
副教授
硕士生导师
性别:女
毕业院校:大连理工大学
学位:博士
所在单位:数学科学学院
学科:运筹学与控制论
办公地点:创新园大厦A1014
电子邮箱:xuzhang@dlut.edu.cn
Experimental design suboptimization for the enzyme-catalytic nonlinear time-delay system in microbial batch culture
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论文类型:期刊论文
发表时间:2014-11-01
发表刊物:JOURNAL OF PROCESS CONTROL
收录刊物:SCIE、EI、Scopus
卷号:24
期号:11
页面范围:1740-1746
ISSN号:0959-1524
关键字:Nonlinear time-delay system; Batch culture; Optimal control; Continuous state inequality constraint; Modified Nelder-Mead method
摘要:In this paper, an enzyme-catalytic nonlinear time-delay system is investigated to describe the batch culture of glycerol to 1,3-propanediol (1,3-PD) by Klebsiella pneumoniae (K. pneumoniae), in which glycerol and 1,3-PD are assumed to pass the cell membrane by passive diffusion coupled with facilitated transport. The existence, uniqueness, boundness of solutions of the system and continuity of solutions with respect to the uncertain parameter appeared in the studied system are also discussed. The purpose of this article is to maximize the productivity of 1,3-PD at terminal time by controlling the initial value of the state vector and terminal time. With this in mind, taking the productivity of 1,3-PD at terminal time as the cost function and the initial concentration of biomass, glycerol, and terminal time as the control vectors, we firstly propose an optimal control model subject to the time-delay system and continuous state inequality constraints. To seek the optimal productivity of 1,3-PD at terminal time and the optimal control, a modified Nelder-Mead algorithm involved with the constraint transcription and smoothing techniques is then developed. Finally, the numerical results illustrate the appropriateness of the enzyme-catalytic nonlinear dynamic system and the validity of the optimization algorithm. (C) 2014 Elsevier Ltd. All rights reserved.