Process Systems Engineering
Optimal experiment design for nonlinear dynamic (bio)chemical systems using sequential semidefinite programming
Article first published online: 3 MAR 2014
© 2014 American Institute of Chemical Engineers
Volume 60, Issue 5, pages 1728–1739, May 2014
How to Cite
Telen, D., Logist, F., Quirynen, R., Houska, B., Diehl, M. and Van Impe, J. (2014), Optimal experiment design for nonlinear dynamic (bio)chemical systems using sequential semidefinite programming. AIChE J., 60: 1728–1739. doi: 10.1002/aic.14389
- Issue published online: 8 APR 2014
- Article first published online: 3 MAR 2014
- Accepted manuscript online: 31 JAN 2014 06:12AM EST
- Manuscript Revised: 9 JAN 2014
- Manuscript Received: 17 JUN 2013
- Agency for Innovation through Science and Technology in Flanders (IWT)
- Belgian Chemistry and Life Sciences Federation essenscia
- KU Leuven Research Fund. Grant Numbers: PFV/10/002 (OPTEC), OT/10/035, GOA/10/09 (MaNet), GOA/10/11
- KU Leuven Industrial Research Fund: IOF, KP, SCORES4CHEM
- FWO. Grant Numbers: FWO KAN2013 126.96.36.199, G.0930.13, G.0320.08, G.0377.09
- Belgian Federal Science Policy Office. Grant Number: IAP VII/19 (DYSCO)
- EU. Grant Number: FP7- EMBOCON, ERC ST HIGHWIND
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