Lectures

2025

Lecture 1: ARX models
Lecture 2: Prediction and control for external models
Lecture 3: Estimation for external models
Lecture 4: Model validation and adaptive control for external models
Lecture 5: Control for external models
Lecture 6: Estimation and adaptive control for external models
Lecture 7: Systems and control theory
Lecture 8: Stochastic systems and state estimation
Lecture 9: State estimation and control
Lecture 10: Control for state space models
Lecture 11: Parameter estimation for state space models
Lecture 12: Recursive estimation for state space models
Lecture 13: Control for nonlinear state space models

2024

Lecture 1: System theory
Lecture 2: Stochastics
Lecture 3: State estimation
Lecture 4: State estimation
Lecture 5: Optimal control (internal models)
Lecture 6: System identification and adaptive control
Lecture 7: External models and prediction
Lecture 8: Optimal control for external models
Lecture 9: Optimal control for external models
Lecture 10: System identification
Lecture 11: System identification and model validation
Lecture 12: System identification and adaptive control
Lecture 13: Adaptive control

2023

Lecture 1: System theory
Lecture 2: Stochastics
Lecture 3: State estimation
Lecture 4: State estimation
Lecture 5: Optimal control (internal models)
Lecture 6: External models
Lecture 7: Prediction and optimal control for external models
Lecture 8: Optimal control for external models
Lecture 9: System identification
Lecture 10: System identification
Lecture 11: System identification and model validation
Lecture 12: Adaptive control
Lecture 13: Adaptive control