Modelling and analysis of dynamical systems

linma2370  2017-2018  Louvain-la-Neuve

Modelling and analysis of dynamical systems
5 credits
30.0 h + 22.5 h
Q1
Teacher(s)
Delvenne Jean-Charles coordinator; Dochain Denis;
Language
English
Prerequisites
Basic calculus and linear algebra, such as taught in LFSAB1101 (Mathématiques I) et LFSAB1102 (Mathématiques II)
Main themes
First part : presentation of the modelling principles and methods in various areas of engineering sciences : electricity, mechanics, chemical and biochemical processes, environment. Second part : presentation of the major methods for the analysis of the structural properties of state space models : state transformations, equilibria, stability and attractors, controllability, singular perturbations.
Aims

At the end of this learning unit, the student is able to :

1

Learning outcomes:

  • AA1 : 1,2,3
  • AA4 : 1,2,3,4  
  • AA5 : 2,3,5,6       

More specifically, at the end of the course the student:

  • will be aware of the unifying character of the state space model concept in engineering sciences.
  • will be able to model a wide span of situations encountered in diverse engineering sciences
  • will be able to analyze the properties of those dynamical systems defined on a state space

Transversal learning outcomes:

  • Using Matlab and Simulink for the modelling and simulation of dynamical systems.
 

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
MODELING - mechanical, electrical, electromechanical systems - compartmental systems - reactional systems - systematic applications in various areas ANALYSIS - state transformations - equilibria - qualitative analysis of trajectories in the plane, periodical solutions, limited cycles, bifurcations - stability analysis : Lyapunov methods - controllability and stabilisation of linear and nonlinear systems
Teaching methods
Ex cathedra, with reading of notes by the students previously to the course.
Evaluation methods
Project during the semester, with oral and written report. Written exam.
Bibliography
Notes de cours disponibles sur iCampus.
Faculty or entity
MAP


Programmes / formations proposant cette unité d'enseignement (UE)

Title of the programme
Sigle
Credits
Prerequisites
Aims
Master [120] in Electro-mechanical Engineering

Master [120] in Biomedical Engineering

Master [120] in Statistics: General

Master [120] in Mathematical Engineering