Abstract
A mathematical model has been developed for an enzymatic process with kinetically
controlled synthesis. Model reduction and detailed system analysis have been undertaken to examine the main properties of this enzyme reaction system. Optimal experimental design (OED) is developed to obtain the experimental conditions that will generate the most informative measurement data for parameter estimation. Both single-input and multiple-inputs optimisation strategies have been investigated to determine the best intensity levels of control inputs. The results demonstrate that parameter estimation quality can be improved through proper model-based experimental design.
controlled synthesis. Model reduction and detailed system analysis have been undertaken to examine the main properties of this enzyme reaction system. Optimal experimental design (OED) is developed to obtain the experimental conditions that will generate the most informative measurement data for parameter estimation. Both single-input and multiple-inputs optimisation strategies have been investigated to determine the best intensity levels of control inputs. The results demonstrate that parameter estimation quality can be improved through proper model-based experimental design.
| Original language | English |
|---|---|
| Pages (from-to) | 327-332 |
| Number of pages | 6 |
| Journal | IFAC Proceedings Volumes |
| Volume | 46 |
| Issue number | 31 |
| DOIs | |
| Publication status | Published - 16 Dec 2013 |
| Event | International Symposium on Computer Applications in Biotechnology (CAB2013) - Mumbai, India Duration: 16 Dec 2013 → 18 Dec 2013 |
Keywords
- model development
- optimal experiment design
- multiple objective optimization
- least squares parameter estimation
- enzyme reaction networks