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Control Systems Lectures - LTI Systems

Brian Douglas
7 min
Beginner
Video
Theory

This lecture describes what it means when we say a system is linear and time invariant. I also try to give an example as to why these systems are so important when designing control systems...

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Machine Learning Overview

Steve Brunton
7 min
Beginner
Video
Theory

This lecture provides an overview of machine learning, and how it fits into this introductory video sequence on data science. We discuss how machine learning involves "modeling with data".

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Feedforward Control Intro

Vincent Stevenson
7 min
Beginner
Video
Theory

If we know how a disturbance will affect an output, we can proactively change our manipulated variable to counteract it.

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Gaussian/Normal Distributions

Christopher Lum
99 min
Beginner
Video
Theory

In this video we discuss the Gaussian (AKA Normal) probability distribution function. We show how it relates to the error function (erf) and discuss how to ...

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Fourier Analysis: Overview

Steve Brunton
7 min
Beginner
Video
Theory

This video presents an overview of the Fourier Transform, which is one of the most important transformations in all of mathematical physics and engineering. This series will introduce the...

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The Routh-Hurwitz Stability Criterion

Christopher Lum
82 min
Beginner
Video
Theory

In this video we explore the Routh Hurwitz Stability Criterion and investigate how it can be applied to control systems engineering. The Routh Hurwitz Stabi...

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The Fourier Transform and Derivatives

Steve Brunton
10 min
Beginner
Video
Theory

This video describes how the Fourier Transform can be used to accurately and efficiently compute derivatives, with implications for the numerical solution of differential equations.

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