Study programme 2018-2019 | Français | ||
RST, Optimal and Predictive Control | |||
Activité d'apprentissage à la Faculty of Engineering |
Code | Lecturer(s) | Associate Lecturer(s) | Subsitute Lecturer(s) et other(s) |
---|---|---|---|
I-AUTO-050 |
|
|
Language of instruction | Language of assessment | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Term |
---|---|---|---|---|---|---|---|
Anglais | Anglais | 10 | 8 | 0 | 0 | 0 | Q1 |
Content of Learning Activity
dynamic modelling of continuous current actuators; classical controllers (on-off and PID); RST controllers; optimal control (LQR); model predictive control (DMC and GPC); exercises and laboratory experiments
Required Learning Resources/Tools
Not applicable
Recommended Learning Resources/Tools
Not applicable
Other Recommended Reading
Not applicable
Mode of delivery
Type of Teaching Activity/Activities
Evaluations
The assessment methods of the Learning Activity (AA) are specified in the course description of the corresponding Educational Component (UE)