
Bode 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 MoreMachine Learning Overview
This lecture provides an overview of machine learning, and how it fits into this introductory video sequence on data science. We discuss how machine learning involves "modeling with data".
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 CS229: Machine Learning | Autumn 2018
Autumn 2018 Stanford course on machine learning by Andrew Ng.
See MoreBode Plots by Hand: Poles and Zeros at the Origin
This is a continuation of the Control Systems Lectures. This video describes the benefit of being able to approximate a Bode plot by hand and explains what a Bode plot looks like for a...
See MoreNeural Networks: Caveats
This lecture discusses some key limitations of neural networks and suggests avenues of ongoing development.
See MoreDirect Synthesis for PID Design Intro
Direct Synthesis for PID Design Intro
See MorePeter Ponders PID - LQR Optimizing Two Outputs
Trimming a Model of a Dynamic System Using Numerical Optimization
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 ...
See MoreDigital Twin Parameter Tuning
Learn how to tune the digital twin model of a pump system to its physical asset using Simulink Design Optimization™. You can use measured data collected from the physical system to tune the...
See MorePeter Ponders PID - Controlling a non-integrating single pole system. Part 3...
Part 3 uses PI control which is the only practical means of control a non-integrating single pole system.http://deltamotion.comhttp://forum.deltamotion.com
See MoreThe Laplace Transform
In this video we show how to perform the Laplace transform on a signal in the time domain to obtain its equivalent representation in the Laplace domain. Top...
See MoreTikZ source Code: Feedback systems
TikZ source Code: Feedback systems
See MoreFourier Series: Part 1
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...
See MoreUnderstanding Sensor Fusion and Tracking, Part 4: Tracking a Single Object W...
This video describes how we can improve tracking a single object by estimating state with an interacting multiple model filter. We will build up some intuition about the IMM filter and show...
See MoreIntroduction to Bode Plots
In this video we introduce the concept of Bode plots including what they represent, how they are generated, as well as how to use Matlab tools to work with B...
See MoreTikZ source Code: Simulation Graph
TikZ source Code: Simulation Graph
See MoreDerivation and Solution of Laplace’s Equation
In this video we show how the heat equation can be simplified to obtain Laplace’s equation. We investigate how to solve Laplace’s equation using separation ...
See MoreSVD Method of Snapshots
This video describes how to compute the singular value decomposition (SVD) using the method of snapshots, by Sirovich 1987.
See MoreFrequency domain – tutorial 1: concept of frequency (with Chinese subtitle)
In this video, the following materials are covered:1) intuitive explanation on the frequency concept 2) what is the relation between time and frequency domai...
See MoreUnderstanding Sensor Fusion and Tracking, Part 2: Fusing a Mag, Accel, and G...
This video describes how we can use a magnetometer, accelerometer, and a gyro to estimate an object’s orientation. The goal is to show how these sensors contribute to the solution, and to...
See MoreTuning a Fuzzy Logic Controller with Data | Fuzzy Logic, Part 4
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...
See MoreIMC PID Design of a Second Order Process
IMC PID Design of a Second Order Process
See MoreFrequency domain – tutorial 4: Gibbs phenomenon
In this video, we quickly review the Gibbs phenomenon which involves two facts:1) Fourier sums overshoot at a jump discontinuity2) overshoot does not disapp...
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