Cybernetics (ELE620)
Continuous-time and discrete-time systems theory, using both the state-space representation and transfer functions. Discretization of continuous-time systems. Stability, controllability and observability. State-feedback and LQR control. State observation and Kalman filter. Parametrical system identification: ARX and ARMAX models, recursive least-squares approaches. Introduction to model-based fault diagnosis.
Course description for study year 2024-2025
Course code
ELE620
Version
1
Credits (ECTS)
10
Semester tution start
Autumn
Number of semesters
1
Exam semester
Autumn
Language of instruction
English
Content
NB! This is an elective course and may be cancelled if fewer than 10 students are enrolled by August 20th for the autumn semester.
Continuous-time and discrete-time systems theory, using both the state-space representation and transfer functions. Discretization of continuous-time systems. Stability, controllability and observability. State-feedback and LQR control. State observation and Kalman filter. Parametrical system identification: ARX and ARMAX models, recursive least-squares approaches. Introduction to model-based fault diagnosis.
Learning outcome
- Describe discrete and continuous dynamic systems by transfer-functions and state-space-models
- Transform a dynamic system from one form to another
- Use state-space models for control purposes
- Do state and parameter estimation using state observers, Kalman filtering and RLS
- Do fault diagnosis using model-based approaches
Required prerequisite knowledge
Exam
Form of assessment | Weight | Duration | Marks | Aid |
---|---|---|---|---|
Written exam | 1/1 | 4 Hours | Letter grades | No printed or written materials are allowed. Approved basic calculator allowed |
Digital exam
Coursework requirements
Course teacher(s)
Course coordinator:
Damiano RotondoCourse teacher:
Damiano RotondoLaboratory Engineer:
Didrik Efjestad FjereideHead of Department:
Tom RyenMethod of work
Overlapping courses
Course | Reduction (SP) |
---|---|
System identification (MIK130_1) | 10 |
System identification (MIK130_2) | 10 |