 | Study programme 2019-2020 | Français | |
| Advanced Control | |||
Learning Activity |
| Code | Lecturer(s) | Associate Lecturer(s) | Subsitute Lecturer(s) et other(s) | Establishment |
|---|---|---|---|---|
| I-AUTO-004 |
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| Language of instruction | Language of assessment | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Term |
|---|---|---|---|---|---|---|---|
| Anglais | Anglais, Français | 24 | 24 | 0 | 0 | 0 | Q2 |
| 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 (weighting 2/3) as well as the numerical applications and the exercises (weighting 1/3). The examination consists of a questionnaire (with written preparation) and an oral interview. |
Content of Learning Activity
State equations of continuous-time and discrete-time systems; stability analysis; commandability; observability; state feedback control; state estimation; Luenberger observer; decentralized control;
Required Learning Resources/Tools
Not applicable
Recommended Learning Resources/Tools
Not applicable
Other Recommended Reading
D. H. Owens, Multivariable and optimal systems, Academic Press, 1981
Mode of delivery
- Face to face
Type of Teaching Activity/Activities
- Cours magistraux
- Conférences
- Travaux pratiques
- Travaux de laboratoire
- Exercices de création et recherche en atelier
- Projet sur ordinateur
- Etudes de cas
Evaluations
The assessment methods of the Learning Activity (AA) are specified in the course description of the corresponding Educational Component (UE)
(*) HT : Hours of theory - HTPE : Hours of in-class exercices - HTPS : hours of practical work - HD : HMiscellaneous time - HR : Hours of remedial classes. - Per. (Period), Y=Year, Q1=1st term et Q2=2nd term