
Control System Lectures - Bode Plots, Introduction
This lecture is an introduction to frequency response methods, and in particular describes the Bode plot. I go through how it is generated and why we use it to visualize the frequency...
See MoreAdvanced process control (APC): Theory & Applications in SAGD
This webinar is presented by Thiago Avila and covers what APC is, why we do it, examples of APC in the SAGD industry, what optimization opportunities are available, and where this technology...
See MoreIntro to Data Science: What is Data Science?
This lecture provides an overview of the various components of data science, including data collection, cleaning, and curation, along with visualization, analysis, and machine learning (i.e...
See MorePrincipal Component Analysis (PCA) 1 [Python]
This video describes how the singular value decomposition (SVD) can be used for principal component analysis (PCA) in Python (part 1).
See MoreData-Driven Control: Linear System Identification
Overview lecture on linear system identification and model reduction. This lecture discusses how we obtain reduced-order models from data that optimally capture input--output dynamics.
See MoreGain a better understanding of Root Locus Plots using Matlab
In this video I go through various ways to use Matlab to plot and visualize the root locus.
See MoreHow Antennas Work
Antennas constitute as a major component in various communication systems, signal transmission and many others. It is important to understand how they work and create propagating waves in...
See MoreTime domain - tutorial 3: signal transformations
In this video, we learn how different transformations can change the signal shape. Specifically, we cover time shifting & scaling as well as amplitude shift...
See MoreFrequency domain – tutorial 7: Fourier transform examples marathon
In this video, we solve lots of lots examples to practice how to quickly find Fourier transform using table of pairs and properties. The learning objective i...
See MoreDesigning a Lead Compensator with Root Locus
This video walks through a phase lead compensator example using the Root Locus method.
See MoreControl Bootcamp: Three Equivalent Representations of Linear Systems
This video explores three equivalent representations of linear systems: State-space ODEs, Frequency domain transfer functions, and Time-domain impulse response convolution.
See MoreBode Stability Criterion in Frequency Response Analysis Intro
The Bode stability criterion allows us to quickly determine the stability and relative stability of a transfer function. It uses a graphical method that can ...
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 MorePID Control with Posicast 7 - ( In English )
In this video closed-loop configurations with PID controllers and Posicast are introduced.
See MoreSVD and Optimal Truncation
This video describes how to truncate the singular value decomposition (SVD) for matrix approximation.
See MoreMachine Learning Goals
This lecture discusses the high-level goals of machine learning, and what we want out of our models. Goals include speed and accuracy, along with interpretability, generalizability...
See MoreFeedforward Control Intro
If we know how a disturbance will affect an output, we can proactively change our manipulated variable to counteract it.
See MoreStanford CS234: Reinforcement Learning | Winter 2019 | Lecture 12 - Fast Rei...
Professor Emma Brunskill
Assistant Professor, Computer Science
Stanford AI for Human Impact Lab
Stanford Artificial Intelligence Lab
Statistical Machine Learning Group
The Frobenius Norm for Matrices
This video describes the Frobenius norm for matrices as related to the singular value decomposition (SVD).
See MoreDirect Synthesis for PID Design Intro
Direct Synthesis for PID Design Intro
See MoreControllability [Control Bootcamp]
This lecture explores when a linear system is controllable. We begin with the simple test in terms of the rank of the controllability matrix on a few intuitive examples.
See MoreIntroduction to Ordinary Differential Equations
In this video we introduce the concept of ordinary differential equations (ODEs). We give examples of how these appear in science and engineering as well as...
See MoreData-Driven Control: Balanced Truncation Example
In this lecture, we explore the balanced truncation procedure on an example in Matlab. In particular, we demonstrate the ability of a balancing transformation to make the controllability...
See MoreGaussian/Normal Distributions
In this video we discuss the Gaussian (AKA Normal) probability distribution function. We show how it relates to the error function (erf) and discuss how to ...
See MoreManipulating Aerodynamic Coefficients
In this video we discuss some potential problems you may encounter when attempting to perform operations with dimensionless aerodynamic coefficients such as CL and CD.
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