# RO47019 Intelligent control systems

**Topics:**Machine learning for nonlinear dynamical systems

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

Topics:

- Introduction to nonlinear control and ICS
- Learning nonlinear dynamical systems (direct and inverse)
- Sum of Basis functions
- Artificial neural networks, deep learning, and other advanced neural architecture in the context of ICS
- Gaussian processes
- Reinforcement learning
- Imitation learning
- Adaptive control
- Iterative learning control
- Examples of applications

**Study Goals**

At the end of this course, you will be able to:

- LO1 Explain the fundamentals of 'intelligent control' techniques - namely iterative control, Reinforcement learning, Model learning for control, etc.
- LO2 Implement 'intelligent control' techniques in Python.
- LO3 Reason on the expected performance of a given intelligent controller when applied to a given control problem.
- LO4 Propose an original, intelligent control scheme that can provide motor intelligence to a nonlinear and uncertain system (e.g., robot within a partially known environment).

## Teachers

### Dr. Della C. Santina

Last modified: 2023-11-03

### Details

Credits: | 4 EC |
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Period: | 0/0/4/0 |