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Output details

12 - Aeronautical, Mechanical, Chemical and Manufacturing Engineering

Imperial College London

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Output 410 of 635 in the submission
Article title

Novel anticorrelation criteria for model-based experiment design: Theory and formulations

Type
D - Journal article
Title of journal
AICHE Journal
Article number
-
Volume number
54
Issue number
4
First page of article
1009
ISSN of journal
0001-1541
Year of publication
2008
URL
-
Number of additional authors
1
Additional information

Design-of-Experiments (DOE) based on black-box sampling is 50 years old and includes Macchietto’s pioneering use of deterministic, dynamic models. However all this previous work used “classic” objective functions. This paper presents new understanding of design objectives and constraints, enables the versatile tailoring of problem formulations to problems, and results in more robust solutions with applications in Engineering (DOI=10.1021/ie400133m), Process Control (DOI= 10.1016/j.jprocont.2011.12.004) and Biology (DOI=10.1016/j.ces.2012.05.002) . It resulted in prestigious keynotes including the opening lecture at the Newton Institute for Mathematical Sciences, Cambridge (http://www.newton.ac.uk/programmes/DAE/index.html

http://www.newton.ac.uk/programmes/DAE/seminars/2011071811301.html ) and closing lecture at the 1st Aachen Conference on Computational Engineering Science (http://www.acces11.rwth-aachen.de/MainContents/KeynoteLect.php).

Interdisciplinary
-
Cross-referral requested
-
Research group
B - Chemical Engineering
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-