.png){kind=icon}
返回
A systematic approach to SMB processes model identification from batch experiments
.png){kind=icon}
PRE
AI
DOI：10.1016/j.ces.2007.04.015.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
The optimization, monitoring and control of simulated moving bed (SMB) units require the use of a process model and the estimation of the model parameters. A systematic numerical procedure for determining parameters of SMB models from batch experiments is presented and evaluated. The unknown parameters are estimated by minimizing a cost function measuring the difference between experimental and simulated concentration profiles. In contrast with previous studies, parameter identifiability is studied and errors on the estimated parameters are calculated. A sensitivity analysis is used to design the experiments and to compare the identifiability of different chromatographic models. Then, the influence of local minima is evaluated by applying the numerical procedure on fictitious measurements generated from a model with known parameters. (c) 2007 Elsevier Ltd. All rights reserved.
Keyword:
parameter identification
chromatography
adsorption
mathematical modelling
identifiability
sensitivity analysis
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
4.3
论文数:
2.3W
被引数:
5.5W
机构
暂无机构信息
引用论文
The effect of temperature on tolerance to ischemia in experimental free flaps温度对实验性游离皮瓣缺血耐受性的影响.png)
Microsurgery
MicrosurgeryIF0
PREAI
分享收藏Optimization-based control of a reactive simulated moving bed process for glucose isomerization
PREAI
分享收藏
查看更多内容