A framework for model-based design of parallel experiments in dynamic systems

被引：0

作者：

Galvanin, F. ^{[1
]}

Barolo, M. ^{[1
]}

Bezzo, F. ^{[1
]}

Macchietto, S. ^{[1
]}

机构：

[1] Univ Padua, DIPIC Dipartimento Principi & Impianti Ingn Chim, I-35131 Padua, Italy

来源：

16TH EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING AND 9TH INTERNATIONAL SYMPOSIUM ON PROCESS SYSTEMS ENGINEERING | 2006年 / 21卷

关键词：

model-based experiment design; dynamic modelling; parameter estimation; model validation;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Advanced model-based experiment design techniques are essential for rapid development, refinement and statistical assessment of deterministic process models. One objective of experiment design is to devise experiments yielding the most informative data for use in the estimation of the model parameters. Current techniques assume the multiple experiments are designed in a sequential manner. The concept of model-based design of parallel experiments design is presented in this paper. A novel approach, viable for sequential, parallel and sequential-parallel design is proposed and evaluated through an illustrative case study.

引用

页码：249 / 254

页数：6

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