Informations générales
Number of hours
- Lectures 28.0
- Projects -
- Tutorials -
- Internship -
- Laboratory works 32.0
ECTSECTS
5.0
Goal(s)
Definition, analysis and control of linear-time-invariant discrete-time systems.
State space modelisation of linear (continuous and discrete time) systems.
State space modelisation and linearisation of non linear systems.
Design a pole placement controller using optimal approach.
Responsible(s)
Content(s)
CM : 28h
Introduction
Sampled-time systems
Performances of sampled-time systems
Digital control
System description in state space
Linearisation
Different state space representations (controllable, modal ..)
Solution to state space equations
Properties (nonuniqueness, stability, controllability, observability)
Optimal control. State space observer.
Analysis of disturbance effects
Analysis of modelling uncertainties, robustness
Technical sessions (PW) 16h + Computer sessions 16h.
PrerequisitesM6
Test
Session 1
Final assessment (ET1): 2-hours supervised written exam
Continuous assessment (CC1): 3 computer session reports, 2 lab reports
Session 2
Final assessment (ET2): 2-hours supervised written exam
Continuous assessment (CC2): no resit for continuous assessment, session 1 assessment retained (CC1=CC2)
Calendar
The course exists in the following branches:
- Curriculum - Master's Degree in Engineering IEN - Semester 7
Additional Information
Course ID : 4EUS3AIN
Course language(s): 
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