Special Topics in Electronic Engineering 〈Learning Patterns for Autonomous Control〉

The theme of this course is to identify and use patterns in intelligent autonomous systems. By studying patterns, many control and state-estimation algorithms can be more efficient in data consumption and computation time. Relevant motivating applications include robotic path-planning with AI, fault-tolerant control, and decision-making networks (e.g., vehicle traffic systems, UAV traffic management).