Everything You Need to Know About Control Theory
This course provides an in-depth look into Control Theory, a mathematical framework used to develop autonomous systems. Learn the difference between open-loop and closed-loop control, how to use system identification to develop a model of the system, and why feedforward control is a straightforward method to control a system. Also, explore other control methods such as adaptive control, optimal control, predictive control, and reinforcement learning. Plus, gain an understanding of path planning, statistical estimators, modeling and simulation, and more. Get a free product trial and learn more about MATLAB and Simulink. ▼
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Course Feature
Cost:
Free
Provider:
Youtube
Certificate:
No Information
Language:
English
Start Date:
2022-10-27 00:00:00
Course Overview
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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.
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