Nonhomogeneous Linear Ordinary Differential Equations
70 min
Beginner
Video
Theory
In the previous video (https://youtu.be/3Kox-3APznI) we examined solving homogeneous linear ordinary differential equations (the forcing function was equal t...
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Tuning a Fuzzy Logic Controller with Data | Fuzzy Logic, Part 4
18 min
Beginner
Video
Theory
This video covers the basics of data-driven approaches to tuning fuzzy inference systems. See what it means to find an optimal solution, which fuzzy inference parameters are being tuned...
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Data-Driven Control: Change of Variables in Control Systems (Correction)
2 min
Intermediate
Video
Theory
This video corrects a typo in the previous lecture.
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Numerically Solving Partial Differential Equations
101 min
Beginner
Video
Theory
In this video we show how to numerically solve partial differential equations by numerically approximating partial derivatives using the finite difference me...
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Trimming a Model of a Dynamic System Using Numerical Optimization
60 min
Intermediate
Video
Theory
In this video we show how to find a trim point of a dynamic system using numerical optimization techniques. We generate a cost function that corresponds to a straight and level flight...
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MIT 6.S191: Introduction to Deep Learning
Beginner
Video
Theory
MIT's introductory course on deep learning methods with applications to computer vision, natural language processing, biology, and more! Students will gain foundational knowledge of deep...
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Discrete control #5: The bilinear transform
15 min
Beginner
Video
Theory
This is video number five on discrete control and here, we’re going to cover the famous and useful bilinear transform. The bilinear transform is yet another method for converting, or mapping...
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Routh-Hurwitz Criterion, Beyond Stability
11 min
Beginner
Video
Theory
This video explains of few uses of the Routh-Hurwitz Criterion that go beyond simply determining how many poles exist in the right half plane. I cover how to determine gain margin and how...
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Using ‘rlocus’ in Matlab to Plot the Root Locus
19 min
Beginner
Video
Application
This tutorial illustrates how to use the ‘rlocus’ command in Matlab to quickly and easily sketch the root locus.Discussion on the 3 example transfer function...
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How the Flight Controller Code Works - dRehmFlight VTOL
20 min
Intermediate
Video
Application
This video will walk you through the flight controller code of dRehmFlight VTOL to give you a better understanding of the contents and structure. The hope is that it will cover almost...
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Peter Ponders PID - Controlling an Under Damp Mass and Spring System
24 min
Beginner
Video
Theory
Demonstrates:How to calculate the PID gains. The importance of the derivative gain. How to simulate the mass and spring systemControl limitations based on s...
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Control Bootcamp: Benefits of Feedback on Cruise Control Example
14 min
Beginner
Video
Theory
Here we investigate the benefits of feedback for systems with uncertain dynamics and disturbances, as illustrated on a cruise control example.
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Simulating the Logistic Map in Matlab
16 min
Intermediate
Video
Application
This video shows how simple it is to simulate discrete-time dynamical systems, such as the Logistic Map, in Matlab.
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Relationship Between Poles and Performance of a Dynamic System
43 min
Beginner
Video
Theory
In this video we establish the relationship between pole locations and associated performance of a dynamic system. This relationship is useful to translate ...
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Peter Ponders PID - Why PID with 2nd Derivative Gain?
27 min
Beginner
Video
Theory
If you have ever tuned a hydraulic system and wondered why PID control didn't work better than PI control the answer is here. Since the 1980s people have kn...
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Fourier Series: Part 2
6 min
Beginner
Video
Theory
This video will show how to approximate a function with a Fourier series, which is an infinite sum of sines and cosines. We will discuss how these sines and cosines form a basis for the...
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Laplace domain – tutorial 2: Region of Convergence (ROC)
8 min
Beginner
Video
Theory
In this video, we learn five golden rules on how to quickly find the Region of Convergence (ROC) of Laplace transform. Learn Signal Processing 101 in 31 lect...
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What Is a Control System and Why Should I Care? (Part 2)
34 min
Beginner
Video
Theory
This talk gives a glimpse of some of the methods and math that allow us to understand feedback systems. Continuing on from Part 1, it gives a description of how we use scientific principles...
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Laplace domain – tutorial 3: Laplace transform tables
17 min
Beginner
Video
Theory
In this video, we cover Laplace transform tables which help us to quickly find Laplace and inverse Laplace transforms. The main learning objective is to full...
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Linear Systems of Equations, Least Squares Regression, Pseudoinverse
11 min
Beginner
Video
Theory
This video describes how the SVD can be used to solve linear systems of equations. In particular, it is possible to solve nonsquare systems (overdetermined or underdetermined) via least...
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Control Systems Lectures - LTI Systems
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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Dynamic Behavior and Input Types in Process Control
13 min
Beginner
Video
Theory
An introduction to the four types of dynamic behavior and five types of inputs (step, ramp, pulse, impulse, and sinusoidal), and why transfer functions are u...
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Process Control Introduction
14 min
Beginner
Video
Theory
An overview on state variables, inputs (manipulated and disturbance variables), outputs (measured state variables), and an example on the balance equations w...
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Time domain - tutorial 6: elementary signals
11 min
Beginner
Video
Theory
In this video, we cover two elementary signals, unit step and unit impulse, which will be extensively used in this course. The following materials are covere...
See More![SVD: Image Compression [Matlab]](/sites/default/files/styles/search_resulkts/public/2020-12/maxresdefault_419.jpg?itok=wbEekwkx)
SVD: Image Compression [Matlab]
14 min
Beginner
Video
Application
This video describes how to use the singular value decomposition (SVD) for image compression in Matlab.
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