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Modeling and control of dynamical systems in bioengineering
Course teacher(s)
Philippe BOGAERTS (Coordinator) and Didier GONZEECTS credits
5
Language(s) of instruction
english
Course content
Part 1 (Ph. Bogaerts, 18h): Introduction to parameter estimation, Mathematical model structures (taxinomy and properties), Parameter estimation (least squares, maximum likelihood), Mathematical modeling of biological networks, Case studies.
Part 1 (D. Gonze, 18h): Discrete and continuous models (ODE) in population dynamics: logistic equation, Ricker's and Nicholson-Bailey's discrete models, Gompertz model, Allee effect, Lotka-Volterra's models, chemostat, SIR models. Overview of some recent scientific articles.
Part 2 (Ph. Bogaerts, 24h): (Bio)chemical process control (Control of a CSTR : basic principles, Control of a batch exothermic reactor, Control of time delay and minimum phase processes, Feedforward control, Control of MIMO systems).
Objectives (and/or specific learning outcomes)
At the end of the course, the student will be able to
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choose, develop and analyze a dynamical model for describing a system in biology and/or in bioengineering;
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build a mathematical model of a process on the basis of experimental data;
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design control structures for processes of chemical and biotechnological industries.
Prerequisites and Corequisites
Required and Corequired knowledge and skills
Generally: basics of linear algebra; function analysis; statistics and probability theory; linear system dynamics.
More specifically: vectors and matrices (product, inverse, trace, transpose, etc.); function minimization; Taylor series development; integration of first order ordinary differential equations; mathematical expectation, probability density function, mean, variance, stochastic processes, white noise, Gaussian distribution, uniform distribution; state equations and transfer functions for linear time-invariant dynamical systems.
Teaching methods and learning activities
Part 1: 3 ECTS of ex cathedra courses.
Part 2: 1 ECTS of ex cathedra courses and 1 ECTS of seminars (simulations on computer).
Course notes
- Podcast
- Syllabus
- Université virtuelle
Other information
Contacts
Philippe Bogaerts : École polytechnique de Bruxelles, 3BIO-BioControl (Biosystems Modeling and Control); email: philippe.bogaerts@ulb.be
Didier Gonze : Faculté des Sciences, Unit of Theoretical Chronobiology; email: didier.gonze@ulb.be
Campus
Solbosch
Evaluation
Method(s) of evaluation
- written examination
- Oral examination
written examination
Oral examination
1st exam: written exam with Prof. D. Gonze
- subject: Part 1 taught by Prof. Gonze
2nd exam: oral exam (without preparation) with Prof. Ph. Bogaerts
- subject of question 1: Part 1 taught by Prof. Bogaerts
- subject of question 2: Part 2
Mark calculation method (including weighting of intermediary marks)
- Written exam with Prof. Gonze: 30% (mark 1)
- Oral exam with Prof. Bogaerts (Part 1): 30% (mark 2)
- Oral exam with Prof. Bogaerts (Part 2): 40% (mark 3)
Final mark = 0,3 * mark 1 + 0,3 * mark 2 + 0,4 * mark 3
If one of these partial marks is greater than or equal to 10/20, it is then definitively acquired (from one session to another and/or from one academic year to another) and the corresponding exam may not be taken anymore.
An attendance note (NDP) may be obtained for 1, 2 or the 3 above-mentioned partial marks, hence leading to an attendance note (NDP) for the whole course. However, it remains possible to definitively acquire a mark greater than or equal to 10/20 for the partial mark(s) whose corresponding exams have been successfully presented.
If, upon deliberation, the course is not validated, then all the exams associated to a mark lower than 10/20 must be redone (from one session to another and from one academic year to another).
Language(s) of evaluation
- english