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Updated in [July 17th, 2023]
This course provides an overview of Control Theory, a mathematical framework used to develop autonomous systems. Participants will learn the difference between open-loop and closed-loop control, how to use system identification to develop a model of the system, why feedforward control is a straightforward method to control a system, how feedback control affects system stability, and an overview of other control methods including adaptive control, optimal control, predictive control, and reinforcement learning. Additionally, the course will cover path planning, statistical estimators like Kalman filters, modeling and simulation, and more. Participants will also have access to free product trials, MATLAB, Simulink, and more.