Number of hours
- Lectures 18.0
- Projects -
- Tutorials -
- Internship -
- Laboratory works 41.0
ECTS
ECTS 5.0
Goal(s)
Identification of systems parameters, spectral analysis and correlation analysis and model validation.
Gain knowledge on design of state feedback and observers using LQ criteria.
Hayate KHENNOUF
Content(s)
Courses : 20h
Input design for identification (pseudo random binary signals PRBS)
Non-parametric and parametric identification
model structure analysis and selection
Model validation methods
Recursive least squares method for identification
Linear Quadratic control (LQR)
Optimal observer design (LQE)
Quadratic optimization for output feedback (LQG)
Robustness analysis
Technical sessions (PW) 16h + Computer sessions 24h.
PrerequisitesBases on Z transform, sampled systems
Basic course on state space linear systems
Automatique 1
Session 1
Continuous assessment (CC1): The CC1 grade is made up of a TP grade (40%) + a BE grade (60%)
The BE grade includes an individual examination grade (on computer and/or an oral presentation) and a follow-up grade (sheets handed in at the end of the session, preparation, investment).
Final exam (ET1): 2 hours written test
Session 2
Final exam : new assessment (ET2) to replace session 1 assessment (ET1)
Continous assessment : session 1 assessment (CC1) retained, no resit for CC1
The course exists in the following branches:
- Curriculum - Master's Degree in Engineering ASI - Semester 8
Course ID : 4EUS4AUT
Course language(s):
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