Units:

12

Description:

In this course, we will introduce the basic principles in the learning and control of autonomous control systems. We will cover topics related to the representation of control systems, state estimation, state feedback control, separation principles between control and estimation, robust control, adaptive control, and reinforcement learning. These tools are currently used in a broad range of systems: autonomous vehicles, drones, robots, manufacturing systems, human sensorimotor control systems, biomolecular control systems, and economic models, among others.

This course is crosslisted with 18-675. ECE graduate students will be prioritized for 18-675, and ECE undergraduate students will be prioritized for 18-475. Although students in 18-475 will share lectures with students in 18-675, students in 18-475 will receive partially different assignments. The assignments given to the 18-675 students will be more challenging than those given to the 18-475 students.

Prerequisites: 18-370 and 18-290

Last Modified: 2024-11-20 11:48AM

Semesters offered:

• Spring 2025
• Spring 2024