Study programme 2021-2022 | Français | ||
Nonlinear system modeling and data-driven techniques applied to biological systems | |||
Learning Activity |
Code | Lecturer(s) | Associate Lecturer(s) | Subsitute Lecturer(s) et other(s) | Establishment |
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I-SECO-108 |
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Language of instruction | Language of assessment | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Term |
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Anglais | Anglais, Français | 36 | 24 | 0 | 0 | 0 | Q1 |
Content of Learning Activity
introduction to population models; macroscopic models of bioprocesses; numerical simulation of dynamic systems; parameter identification (linear and nonlinear problems, least squares and maximum likelihood); introduction to neural networks for modeling and monitoring; state estimation by asymptotic observers; introduction to control of bioreactors (linearizing feedback control, extremum seeking); exercises
Required Learning Resources/Tools
Not applicable
Recommended Learning Resources/Tools
Not applicable
Other Recommended Reading
G. Bastin, D. Dochain, "On-line Estimation and Adaptive Control of Bioreactors", Elsevier, 1990
Mode of delivery
Type of Teaching Activity/Activities
Evaluations
The assessment methods of the Learning Activity (AA) are specified in the course description of the corresponding Educational Component (UE)