
Type
Experience
Scope
Derivation of Rodrigues’ Rotation Formula
In this video we explain and derive Rodrigues’ Rotation Formula. This functions describes how to rotate an arbitrary vector about another arbitrary axis of rotation. This has applications to...
See MoreTikZ source Code: Sliding Mode Control Example System 2
TikZ source Code: Sliding Mode Control Example System 2
See MoreSingular Value Decomposition (SVD): Dominant Correlations
This lectures discusses how the SVD captures dominant correlations in a matrix of data.
See MoreInternal Model Control IMC Introduction
Internal Model Control IMC Introduction
See MoreData-Driven Control: Eigensystem Realization Algorithm
In this lecture, we introduce the eigensystem realization algorithm (ERA), which is a purely data-driven algorithm to obtain balanced input—output models from impulse response data. ERA was...
See MoreSVD: Image Compression [Python]
This video describes how to use the singular value decomposition (SVD) for image compression in Python.
See MoreFirst Order Dynamics in Process Control
An overview on the identification and behavior of first order dynamics in process control.
See MoreThe Frobenius Norm for Matrices
This video describes the Frobenius norm for matrices as related to the singular value decomposition (SVD).
See MoreData Preprocessing and the Short-Time Fourier Transform | Deep Learning for ...
Data in its raw form might not be ideal for training a network. There are some changes we can make to the data that are often desired or sometimes necessary in order to make training faster...
See MoreStanford CS234: Reinforcement Learning | Winter 2019 | Lecture 9 - Policy Gr...
Professor Emma Brunskill
Assistant Professor, Computer Science
Stanford AI for Human Impact Lab
Stanford Artificial Intelligence Lab
Statistical Machine Learning Group
See MoreDrone Simulation and Control, Part 2: How Do You Get a Drone to Hover?
In the last video, we showed we can manipulate the four motors of a quadcopter to maneuver it in 3D space by getting it to roll, pitch, yaw, and change its thrust. We also covered the four...
See MoreRouth-Hurwitz Criterion, An Introduction
This video gives an introduction into the Routh-Hurwitz Criterion and the Routh Array. I also present a little background information in order to emphasize why the method was developed and...
See MoreControl Systems Lectures - Time and Frequency Domain
This lecture introduces the time and frequency domains. A very quick description of the Laplace Transform is given which will be the base of many of classical control lectures in the future...
See MoreRL Course by David Silver - Lecture 5: Model Free Control
Dives into On Policy Monte-Carlo Control and Temporal Difference Learning, as well as Off-Policy Learning.
See MoreEssence of Linear Algebra: Understand the Geomterical Beauty in Linear Algeb...
Linear Algebra is a very important and fundamental topic needed in almost every field of STEM. While the linear part of it is easy to understand and perform operations on, the geometric...
See MoreFinding Roots of a Polynomial Using Matlab, Mathematica, and a TI-83
In this video we show how to use Matlab and Mathematica to solve for roots of an arbitrary order polynomial. For fun, we also show how an old graphing calcu...
See MoreParseval's Theorem
Parseval's theorem is an important result in Fourier analysis that can be used to put guarantees on the accuracy of signal approximation in the Fourier domain.
See MoreNeural Networks: Caveats
This lecture discusses some key limitations of neural networks and suggests avenues of ongoing development.
See MoreResonant Frequency of a Dynamic System
In this video we discuss the resonant frequency of a dynamic system. We show how the resonant frequency, natural frequency, and damped natural frequency are...
See MorePeter Ponders PID - Closed Loop Zeros
This video covers closed loop zeros, what causes zeros and the benefits and drawbacks of closed loop zeros.
See MoreLecture 13: Stability and Routh Hurwitz criterion
Solving the 1D Heat Equation
In this video we simplify the general heat equation to look at only a single spatial variable, thereby obtaining the 1D heat equation. We solving the result...
See MorePeter Ponders PID- Motor position control
Lecture 27: Lead Compensator Design using Bode plots
Frequency domain – tutorial 6: Fourier transform tables
In this video, we learn about Fourier transform tables which enable us to quickly travel from time to the frequency domain. The main learning objective is to...
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