
Dynamic Mode Decomposition (Code)
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.
See MoreSimple Examples of PID Control
In this video I continue the topic of PID control. We walk through a simple control system and visualize how each of the three paths, P, I, and D, all address specific problems that arise...
See MoreTrimming a Simulink Model Using the Linear Analysis Tool
In this video we show how to use the Linear Analysis Tool to trim a non-linear Simulink model. This is also known as finding an operating point or an equili...
See MoreTikZ source Code: Lyapunov Lure
TikZ source Code: Lyapunov Lure
See MoreDenoising Data with FFT [Matlab]
This video describes how to clean data with the Fast Fourier Transform (FFT) in Matlab.
See MoreTime Domain Analysis: Performance Metrics for a First Order System
In this video we introduce the concept of time domain analysis for dynamic systems. We examine a first order dynamic system and derive how various performan...
See MoreThe Fast Fourier Transform Algorithm
Here I discuss the Fast Fourier Transform (FFT) algorithm, one of the most important algorithms of all time.
See MoreSketching Root Locus Part 2
This is the second part of how to sketch a root locus by hand. However instead of following the normal rules for sketching a locus that you'd see in a book, I decided to explain the rules...
See MoreSolving the 1D Wave Equation
In this video, we solve the 1D wave equation. We utilize the separation of variables method to solve this 2nd order, linear, homogeneous, partial differenti...
See MoreThe Navigation Equations: Computing Position North, East, and Down
In this video we show how to compute the inertial velocity of a rigid body in the vehicle-carried North, East, Down (NED) frame. This is achieved by rotating the velocity expressed in the...
See MoreThe Laplace Transform - A Graphical Approach
A lot of books cover how to perform a Laplace Transform to solve differential equations. This video tries to show graphically what the Laplace Transform is doing and why figuring out the...
See MoreEuler (Gimbal Lock) Explained
In this video we explore Euler Rotations, the most common method for orienting objects in 3d. It's by-product "gimbal lock" can cause headaches for animators because the animated motion can...
See MoreTime domain - tutorial 11: system properties from impulse response
In this video, we learn how to find system properties from the impulse response. Specifically, memoryless, causal, stable and invertible systems will be ful...
See MoreMaking an INSANE Hovering RC F-35 VTOL
I built this insane radio controlled VTOL F-35 parkjet that can takeoff and land vertically using conventional miniquad/drone parts. The best part is the plans and code are all free, and I’m...
See MoreFeedforward Control
When and how to use feedforward control
See MoreSingular Value Decomposition (SVD): Mathematical Overview
This video presents a mathematical overview of the singular value decomposition (SVD).
See MoreTime domain - tutorial 2: signal representation
In this video, we review how to represent information as a signal. The information can be anything such as voice (1D) or an image (2D) or even a video (3D). ...
See MoreMachine Learning - Andrew Ng, Stanford University
Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech...
See MoreSVD: Importance of Alignment [Matlab]
This video describes the importance of aligning data when using the singular value decomposition (SVD) (Matlab code).
See MoreCascade Control Intro
How can we improve the disturbance rejection of our controllers using additional, relevant measurements? Tune in to find out!
See MoreStanford CS234: Reinforcement Learning | Winter 2019 | Lecture 13 - Fast Rei...
Professor Emma Brunskill
Assistant Professor, Computer Science
Stanford AI for Human Impact Lab
Stanford Artificial Intelligence Lab
Statistical Machine Learning Group
Degrees of Controllability and Gramians [Control Bootcamp]
This lecture discusses degrees of controllability using the controllability Gramian and the singular value decomposition of the controllability matrix.
See MoreLinear Systems [Control Bootcamp]
Linear systems of ordinary differential equations are analyzed using eigenvalues and eigenvectors. This will be the mathematical foundation of this bootcamp on linear control theory.
See MorePredicting Second Order Transfer Function Behavior
Given a second order transfer function, I'll cover how we can predict the system behavior and derive the appropriate time constants and damping coefficient.
See MoreOverview of Dempster-Shafer Theory (Evidence Theory)
This is an overview of Dempster-Shafer Theory (Evidence Theory) that provides an introduction, definition, basic information about combination rules, some issues with the theory, and the...
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