1. Analysis of linear dynamic systems
– Eigenvalues, stability, controllability and observability
2. Eigenvector assignment and disturbance decoupling in linear systems
3. State estimation for linear systems
– Luenberger observers, Kalman filters
– Estimation of unknown inputs/ disturbances
4. State estimation of nonlinear systems
5. Control of nonlinear systems
– Gain scheduling
– Exact linearization
6. Model predictive control
- Lehrende:r: Taher Sabry Elsayed Gomaa Ebrahim
- Lehrende:r: Anwesh Reddy Gottu Mukkula
- Lehrende:r: Vassilios Yfantis