Controllability and the PBH Test [Control Bootcamp]

This video describes the PBH test for controllability and describes some of the implications for good choices of "B".

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Control Bootcamp: Sensitivity and Complementary Sensitivity (Part 2)

Here we explore the sensitivity and complementary sensitivity functions, which are critical in understanding robustness and performance. (Part 2)

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Velocity & Acceleration in Non-Inertial Reference Frames (Coriolis &...

In this video we derive a mathematical description of velocity and acceleration in non-inertial reference frame. We examine the effect of fictitious forces ...

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Laplace domain – tutorial 1: Laplace transform

In this video, we learn about Laplace transform which enables us to travel from time to the Laplace domain. The following materials are covered:1) why we nee...

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Fourier Analysis: Overview

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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Frequency domain – tutorial 9: frequency response

In this video, the learning objectives are to:1- fully understand the frequency response which forms the foundation of filtering 2- quickly review the common...

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Frequency domain – tutorial 11: equalization

In this video, we learn about equalization technique which is used in communication systems to compensate for the destructive effect of the channel between t...

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Designing a Lead Compensator with Root Locus

This video walks through a phase lead compensator example using the Root Locus method.

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Particle Filter Explained without Equations

This video provides a quick graphical introduction to the particle filter. It does a good job building some intuition behind the filter without ever touching on any mathematics. It's worth a...

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Peter Ponders PID - Feed Forward Theory and Calculations

The formulas for feed forwards are derived for motors and hydraulic actuators. See More

Control Systems Lectures - LTI Systems

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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Inputs and Outputs as defined by a Process Control Engineer

Defining process inputs and outputs is a lot more complicated than I initially thought when I was learning about process control. In this video, I share how ...

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Machine Learning Overview

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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IMC PID Design with Dead Time

IMC PID Design with Dead Time

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Neural Networks: Caveats

This lecture discusses some key limitations of neural networks and suggests avenues of ongoing development.

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Transfer Function to State Space

In this video we show how to transform a transfer function to an equivalent state space representation. We will derive various transformations such as contr...

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Bode Plots by Hand: Poles and Zeros at the Origin

This is a continuation of the Control Systems Lectures. This video describes the benefit of being able to approximate a Bode plot by hand and explains what a Bode plot looks like for a...

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Understanding and Sketching the Root Locus

In this video we discuss how to sketch the root locus for a system by developing a series of 5 core rules augmented by 5 supplemental rules (for a total of 1...

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Deriving Percent Overshoot, Settling Time, and Other Performance Metrics

In this video we examine a second order dynamic system and derive how various performance metrics (such as time to first peak, magnitude at first peak, perce...

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Drone Simulation and Control, Part 3: How to Build the Flight Code

This video describes how to create quadcopter flight software from the control architecture developed in the last video. It covers how to process the raw sensor readings and use them with...

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Standard HW Problem #2: Which is the real open loop transfer function?

In this video, we’ll go through another standard homework problem so you can see how you can apply many of the things you’re learning into a single problem. The question is, we have two...

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Frequency domain – tutorial 8: frequency spectra

In this video, we learn about frequency spectra which can be divided into two parts: phase and magnitude spectrum. Some examples will be provided to practice...

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Introduction to the Fourier Transform (Part 2)

This video is the second part of the introduction to the Fourier Transform. I address an error that I made in the first video concerning the scaling term of the transform. I also try to...

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The Fourier Transform and Derivatives

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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Time domain - tutorial 1: what is signal processing?

In this video, we review the concept of signal processing and why it is useful to learn it. Learn Signal Processing 101 in 31 lectures covering time, frequen...

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