On the Design of Optimally Informative Experiments for Dynamic Crystallization Process Modeling-Reference-Cited by-同舟云学术

On the Design of Optimally Informative Experiments for Dynamic Crystallization Process Modeling

Published:2004-06-29 Issue:16 Volume:43 Page:4889-4902
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Chen Bing H.¹,Bermingham Sean¹,Neumann Andreas H.¹,Kramer Herman J. M.¹,Asprey Steven P.¹

Affiliation:

1. Centre for Process Systems Engineering, Imperial College London, London SW7 2AZ, United Kingdom, Laboratory for Process Equipment, Faculty of Design, Engineering and Production, Delft University of Technology, Leeghwaterstraat 44, 2628 CA, Delft, The Netherlands, and Orbis Investment Advisory Ltd., Orbis House, 5 Mansfield Street, London W1G 9NG, United Kingdom

Publisher

American Chemical Society (ACS)

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/ie030649n

Reference32 articles.

1. Statistical tools for optimal dynamic model building

2. Espie, D. M. The Use of Nonlinear Parameter Estimation for Dynamic Chemical Reactor Modeling. Ph.D. Thesis, University of London, London, U.K., 1986.

3. Optimal dynamic experiments for bioreactor model discrimination

4. On the Design of Optimally Informative Dynamic Experiments for Model Discrimination in Multiresponse Nonlinear Situations

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