Study programme 2019-2020 | Français | ||
RST, Optimal and Predictive Control | |||
Learning Activity |
Code | Lecturer(s) | Associate Lecturer(s) | Subsitute Lecturer(s) et other(s) | Establishment |
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I-AUTO-050 |
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Language of instruction | Language of assessment | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Term |
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Anglais | Anglais | 10 | 8 | 0 | 0 | 0 | Q1 |
Organisational online arrangements for the end of Q3 2019-2020 assessments (Covid-19) |
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Description of the modifications to the Q3 2019-2020 online assessment procedures (Covid-19) |
The exam relates to the understanding of the subjects of the course, both the theoretical concepts as well as the numerical applications and the exercises. The examination consists of a questionnaire (with written preparation) and an oral interview. |
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)