0. Introduction
1. Optimization – theory
2. Optimization – algorithms
3. Discrete-time optimal control – direct approach
4. Discrete-time optimal control – indirect approach
5. Discrete-time optimal control – dynamic programming (DP)
6. More on MPC
7. Continuous-time optimal control - indirect approach via calculus of variations
8. Continuous-time optimal control - indirect approach via Pontryagin’s maximum principle
9. Numerical methods for continuous-time optimal control - both indirect and direct approaches
9.X. Continuous-time optimal control – dynamic programming
10. Some extensions: LQG, LTR, H2
11. Uncertainty modelling and robustness analysis
12. Robust control
13. Limitations of achievable performance
14. Model and controller order reduction

Reference tracking using LQR

#TODO