This course concerns state estimation for control. It is part of the Bachelor of Science program of the Automation Department, UTCluj (4th year 2nd semester). As prerequisites, knowledge of linear algebra, system theory, and control design is needed, together with notions of Matlab programming. The responsible lecturer is Zsofia Lendek.
Grading:
- Colloqium
- Extra points
Schedule
Below the schedule:
The lectures will be taught online, on Microsoft Teams. If you have not been included, contact the course responsible, The lecture notes will be made available below.
- Dynamic models.
- State space and transfer functions.
- Stability, controllability, observability.
- Pole placement.
- Luenberger observers.
- Kalman filters.
Practical classes
In the practical classes, a set of assignments must be solved. An exercise is completed when the method is implemented and the corresponding problem is solved. This must be done during class.
The implementation will be done in Matlab and Simulink. For a few basic comments, see this. The requirements for the practical classes are available below:
- Lab 1: Nonlinear models.
- Lab 2: Continuous-time linear models.
- Lab 3: Continuous-time nonlinear models.
- Lab 4: Discrete-time linear models.
- Lab 5: Discrete-time nonlinear models.
- Lab 6: Kalman filter.
- Lab 7: Extended Kalman filter.
- Lab 8: Unknown input observer.
- Lab 9: Unknown input decoupling observer.
An example of a case study is available below:
Contact
Comments, suggestions, questions etc. related to this course or website are welcome; please contact the lecturer.