RO47019 Intelligent control 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

Last modified: 2023-11-03