
Frequency domain – tutorial 11: equalization
In this video, we learn about equalization technique which is used in communication systems to compensate for the destructive effect of the channel between t...
See MoreWhat Is a Control System and Why Should I Care? (Part 1)
This talk introduces the basic concepts of feedback with lots of visual examples.
See MoreTransfer Functions in Simulink for Process Control
An introduction on deriving transfer functions from a linearized state space model via Laplace Transforms, and how we can input transfer functions into Simul...
See MoreCayley-Hamilton Theorem [Control Bootcamp]
Here we describe the Cayley-Hamilton Theorem, which states that every square matrix satisfies its own characteristic equation. This is very useful to prove results related to...
See MoreAutomatic Updates of Transition Potential Matrices in Dempster-Shafer Networ...
Journal article that develops an evidential reasoning network capable of learning/updating the relationships between Frames of Discernment (the sets over which Dempster-Shafer reasons that...
See MoreRouth Array and Stability
I show how we can find the range of allowed controller gains for a system that will allow us to maintain stability using a Routh Array.
See MorePID Control with Posicast, 9 - (In English)
This is part III of PID control with Posicast
See MoreNonhomogeneous Linear Ordinary Differential Equations
In the previous video (https://youtu.be/3Kox-3APznI) we examined solving homogeneous linear ordinary differential equations (the forcing function was equal t...
See MoreA Visual Introduction to Machine Learning
Machine Learning Explained in interactive visualizations (part 1).
See MoreNumerically Solving Partial Differential Equations
In this video we show how to numerically solve partial differential equations by numerically approximating partial derivatives using the finite difference me...
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 MoreControl Bootcamp: Example Frequency Response (Bode Plot) for Spring-Mass-Da...
This video shows how to compute and interpret the Bode plot for a simple spring-mass-damper system.
See MoreUsing ‘rlocus’ in Matlab to Plot the Root Locus
This tutorial illustrates how to use the ‘rlocus’ command in Matlab to quickly and easily sketch the root locus.Discussion on the 3 example transfer function...
See MorePeter Ponders PID - LQR Optimizing Two Outputs
Relationship Between Poles and Performance of a Dynamic System
In this video we establish the relationship between pole locations and associated performance of a dynamic system. This relationship is useful to translate ...
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 MoreLaplace domain – tutorial 2: Region of Convergence (ROC)
In this video, we learn five golden rules on how to quickly find the Region of Convergence (ROC) of Laplace transform. Learn Signal Processing 101 in 31 lect...
See MoreTikZ source Code: Feedback systems
TikZ source Code: Feedback systems
See MoreFourier Series and Gibbs Phenomena [Matlab]
This video will describe how to compute the Fourier Series in Matlab and Gibbs Phenomena that appear for discontinuous functions.
See MoreTikZ source Code: Simulation Graph
TikZ source Code: Simulation Graph
See MoreDynamic Behavior and Input Types in Process Control
An introduction to the four types of dynamic behavior and five types of inputs (step, ramp, pulse, impulse, and sinusoidal), and why transfer functions are u...
See MoreTime domain - tutorial 1: what is signal processing?
In this video, we review the concept of signal processing and why it is useful to learn it. Learn Signal Processing 101 in 31 lectures covering time, frequen...
See MoreTypes of Machine Learning 2
This lecture gives an overview of the main categories of machine learning, including supervised, un-supervised, and semi-supervised techniques, depending on the availability of expert labels...
See MoreIntro to Process Control
I discuss the motivation and introduce the logic behind controllers that engineers design to respond to errors in outputs (deviations from set points). P and...
See MoreRandomized SVD Code [Python]
This video describes the randomized singular value decomposition (rSVD) (Python code).
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