
Frequency domain – tutorial 9: frequency response
In this video, the learning objectives are to:1- fully understand the frequency response which forms the foundation of filtering 2- quickly review the common...
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 MoreProcess Control Introduction
An overview on state variables, inputs (manipulated and disturbance variables), outputs (measured state variables), and an example on the balance equations w...
See MoreIntroduction to Deep Learning by Andrew NG [COMPLETE]
Andrew Ng's course on deep learning and neural networks.
See MoreThe Fourier Transform and Convolution Integrals
This video describes how the Fourier Transform maps the convolution integral of two functions to the product of their respective Fourier Transforms.
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 MoreLinear Systems of Equations, Least Squares Regression, Pseudoinverse
This video describes how the SVD can be used to solve linear systems of equations. In particular, it is possible to solve nonsquare systems (overdetermined or underdetermined) via least...
See MoreTransfer Function to State Space
In this video we show how to transform a transfer function to an equivalent state space representation. We will derive various transformations such as contr...
See MorePeter Ponders PID- Motor position control
Understanding and Sketching the Root Locus
In this video we discuss how to sketch the root locus for a system by developing a series of 5 core rules augmented by 5 supplemental rules (for a total of 1...
See MoreDeriving Percent Overshoot, Settling Time, and Other Performance Metrics
In this video we examine a second order dynamic system and derive how various performance metrics (such as time to first peak, magnitude at first peak, perce...
See MoreStandard HW Problem #2: Which is the real open loop transfer function?
In this video, we’ll go through another standard homework problem so you can see how you can apply many of the things you’re learning into a single problem. The question is, we have two...
See MorePrincipal Component Analysis (PCA)
Principal component analysis (PCA) is a workhorse algorithm in statistics, where dominant correlation patterns are extracted from high-dimensional data.
See MoreFrequency domain – tutorial 8: frequency spectra
In this video, we learn about frequency spectra which can be divided into two parts: phase and magnitude spectrum. Some examples will be provided to practice...
See MoreSketching Root Locus Part 1
Sketching a root locus by hand can be done by following some simple rules. However, more important than actually being able to sketch to plot is being able to use our knowledge to design...
See MoreFrequency 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 MoreParticle Filter Explained without Equations
This video provides a quick graphical introduction to the particle filter. It does a good job building some intuition behind the filter without ever touching on any mathematics. It's worth a...
See MoreControl Bootcamp: Benefits of Feedback on Cruise Control Example
Here we investigate the benefits of feedback for systems with uncertain dynamics and disturbances, as illustrated on a cruise control example.
See MoreInputs and Outputs as defined by a Process Control Engineer
Defining process inputs and outputs is a lot more complicated than I initially thought when I was learning about process control. In this video, I share how ...
See MoreDirect Synthesis for PID Design Intro
Direct Synthesis for PID Design Intro
See MorePeter Ponders PID - LQR Optimizing Two Outputs
Control Bootcamp: Linear Quadratic Gaussian (LQG)
This lecture combines the optimal full-state feedback (e.g., LQR) with the optimal full-state estimator (e.g., LQE or Kalman Filter) to obtain the sensor-based linear quadratic Gaussian (LQG...
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 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
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