Understanding Model Predictive Control, Part 2: What is MPC?
6 min
Beginner
Video
Theory
Learn how model predictive control (MPC) works. Using a simple car example, this video provides insight into an MPC controller’s strategy for finding the optimal steering wheel angle to...
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Visually Determining Transfer Functions
6 min
Beginner
Video
Theory
Process Control classes can get pretty hard to follow when you lose sight of what transfer functions really are. How do you get them in the first place?
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Drone Control and the Complementary Filter
11 min
Beginner
Video
Theory
Let's talk about the complementary filter and how we can use it to estimate the attitude of a drone using an IMU. It is such a dead simple filter, which is a good reason to learn it, but it...
See More![Linear Regression 3 [Python]](/sites/default/files/styles/search_resulkts/public/2020-12/maxresdefault_438.jpg?itok=rU8HcFY_ "Linear Regression 3 [Python]")
Linear Regression 3 [Python]
10 min
Intermediate
Video
Application
This video describes how the singular value decomposition (SVD) can be used for linear regression in Python (part 3).
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RL Course by David Silver - Lecture 4: Model-Free Prediction
97 min
Intermediate
Video
Theory
An introduction to Monte-Carlo Learning and Temporal Difference Learning
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Deploying Deep Learning Models | Deep Learning for Engineers, Part 5
15 min
Beginner
Video
Theory
This video covers the additional work and considerations you need to think about once you have a deep neural network that can classify your data. We need to consider that the trained network...
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dRehmFlight VTOL - Teensy (Arduino) Flight Controller and Stabilization
5 min
Beginner
Video
Application
dRehmFlight VTOL is a new flight controller and stabilization package intended to be used for small to medium sized hobby or research projects. dRehmFlight is the code, and the physical...
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Data-Driven Control: Balanced Proper Orthogonal Decomposition
27 min
Intermediate
Video
Theory
In this lecture, we introduce the balancing proper orthogonal decomposition (BPOD) to approximate balanced truncation for high-dimensional systems.
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Principal Component Analysis (PCA)
13 min
Beginner
Video
Theory
Principal component analysis (PCA) is a workhorse algorithm in statistics, where dominant correlation patterns are extracted from high-dimensional data.
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Building a Matlab/Simulink Model of an Aircraft: the Research Civil Aircraft...
51 min
Beginner
Video
Application
In this video we implement the RCAM model as a Matlab script that is called from a Simulink model. The result is a fully encapsulated Simulink model of a no...
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Expressing Vectors in Different Frames Using Rotation Matrices
45 min
Intermediate
Video
Theory
In this video we develop notation to express a vector in different reference/coordinate frames. We then investigate how to use rotation matrices to translate from a vector expressed in one...
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Introduction to Full State Feedback Control
62 min
Beginner
Video
Theory
In this video we introduce the concept of a full state feedback controller. We discuss how to use this system to place the eigenvalues of the closed loop sys...
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Dynamic Mode Decomposition (Code)
8 min
Intermediate
Video
Application
In this video, we code up the dynamic mode decomposition (DMD) in Matlab and use it to analyze the fluid flow past a circular cylinder at low Reynolds number.
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Coriolis Effect Demonstration (with Drones)
13 min
Intermediate
Video
Theory
We demonstrate how rotating reference frames give rise to the Coriolis effect and centrifugal acceleration. In this video, we approach this as a simple physics demonstration and examine...
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Understanding Sensor Fusion and Tracking, Part 3: Fusing a GPS and IMU to Es...
14 min
Beginner
Video
Theory
This video continues our discussion on using sensor fusion for positioning and localization by showing how we can use a GPS and an IMU to estimate and object’s orientation and position. We...
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Final Value Theorem
33 min
Beginner
Video
Theory
In this video we discuss the Final Value Theorem. Given a signal in the Laplace domain, this allows us to predict the steady state value of the signal in th...
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Peter Ponders PID - Cascade Control Part1
20 min
Beginner
Video
Theory
I cover whether cascade control is necessary. Why there needs to be a feed back for every loop. How to calculate gains. Bode plots and ratio of the inner t...
See More![Denoising Data with FFT [Matlab]](/sites/default/files/styles/search_resulkts/public/2020-12/maxresdefault_358.jpg?itok=BSMOuW9N "Denoising Data with FFT [Matlab]")
Denoising Data with FFT [Matlab]
10 min
Beginner
Video
Application
This video describes how to clean data with the Fast Fourier Transform (FFT) in Matlab.
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Heat Transfer Demonstration
63 min
Beginner
Video
Theory
In this video we demonstrate heat transfer through a metal bar. By heating one side of the bar we can impose a non-uniform temperature distribution across t...
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The Fourier Transform
14 min
Beginner
Video
Theory
This video will discuss the Fourier Transform, which is one of the most important coordinate transformations in all of science and engineering.
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Time domain - tutorial 5: signal properties
11 min
Beginner
Video
Theory
In this video, we learn about some special signals which are symmetric around the y-axis (even) or around the origin (odd) . Then we talk about periodic sign...
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Designing a Lag Compensator with Bode Plot
13 min
Beginner
Video
Theory
This video walks through a phase lag compensator example using the Bode Plot method.
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Particle Filter Explained without Equations
7 min
Beginner
Video
Theory
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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PID Control with Posicast, 9 - (In English)
11 min
Beginner
Video
Theory
This is part III of PID control with Posicast
See More![SVD: Eigen Action Heros [Matlab]](/sites/default/files/styles/search_resulkts/public/2020-12/maxresdefault_411.jpg?itok=YrhhkBXx)
SVD: Eigen Action Heros [Matlab]
16 min
Intermediate
Video
Application
This video describes how the singular value decomposition (SVD) can be used to efficiently represent human faces. In this example, we represent action heros (Matlab).
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