5 credits
30.0 h + 22.5 h
Q1
Teacher(s)
Absil Pierre-Antoine;
Language
English
Main themes
The course is an introduction to the analysis and synthesis of nonlinear dynamical systems. The mathematical tools are illustrated on different applications, preferentially in the fields of neurodynamics, nonlinear control, and physics. Further specific illustrations are presented by the students at the end of the course.
Aims
At the end of this learning unit, the student is able to : | |
| 1 | Contribution of the course to the program objectives :
At the end of the course, the student will be able to:
Transversal learning outcomes :
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The contribution of this Teaching Unit to the development and command of the skills and learning outcomes of the programme(s) can be accessed at the end of this sheet, in the section entitled “Programmes/courses offering this Teaching Unit”.
Content
- Introduction to nonlinear phenomena
- Multiple equilibrium points and systems in the plane
- Lyapunov functions, gradient systems, stability
- Limit cycles
- Hopf bifurcations, asymptotic methods
- Introduction to chaos
Depending on the choice of the course book, some of the following themes may also be touched :
- Introduction to dynamical models in neuroscience
- Simple neural computation models, Hopfield networks
- Stabilization of equilibrium points
- Coupled oscillators, synchronization phenomena, and collective motions
- Input-output tools for nonlinear system analysis
Teaching methods
- Lectures.
- Homeworks, exercices, or laboratory work to be carried out individually or in small groups.
Evaluation methods
- Homeworks, exercices, or laboratory work during the course semester
- Written report and oral presentation of a project, including a bibliographical part (article or book chapter reading) and computer illustrations of the theory.
Online resources
Bibliography
- Ouvrage de références
- Documents complémentaires disponibles sur Moodle
Faculty or entity
MAP
