ME 537
LEARNING BASED CONTROL

Course Description

This course provides an introduction to learning systems and their application to the control of nonlinear systems. Covered topics include neural networks, reinforcement learning, and evolutionary algorithms. This course has a project component and students will write a technical paper and give a conference style presentation based on their project.

Topics

• Neural networks
• Evolutionary algorithms
• Reinforcement learning
• Robot navigation
• Unmanned aerial vehicle control

Learning Outcomes

The student, upon completion of this course, will be able to:

• Use neural networks to control nonlinear systems.
• Use reinforcement learning to control nonlinear systems.
• Read and assess technical papers in learning based control.
• Produce a research paper on learning based control.