Intelligent Control Systems

Theory and application of intelligent control systems, i.e., the combination of machine learning and control theory.

Topics:

• Introduction to Nonlinear Control and ICS

• Learning nonlinear dynamical systems

• Sum of Basis functions

• Artificial neural networks, deep learning, and other advanced neural architectures in the context of ICS

• Symbolic regression

• Gaussian processes

• Reinforcement learning

• Imitation learning

• Adaptive control

• Iterative learning control

We will strive for a balance between practical intuition and theoretical understanding, discussing examples of applications and delving deeper into the theory when feasible.