
Routh-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 MoreControllability, Reachability, and Eigenvalue Placement [Control Bootcamp]
This lecture explains the equivalence of controllability, reachability, and the ability to arbitrarily place eigenvalues of the closed loop system.
See MoreRandomized SVD Code [Matlab]
This video describes the randomized singular value decomposition (rSVD) (Matlab code).
See MoreTikZ source Code: Sliding Mode Control Example System 1
TikZ source Code: Sliding Mode Control Example System 1
See MoreTrimming a Simulink Model Using the Linear Analysis Tool
In this video we show how to use the Linear Analysis Tool to trim a non-linear Simulink model. This is also known as finding an operating point or an equili...
See MoreData-Driven Control: BPOD and Output Projection
In this lecture, we introduce the output projection for balancing proper orthogonal decomposition (BPOD), to reduce the number of adjoint simulations required when the number of measurements...
See MoreSVD: Eigenfaces 3 [Python]
This video describes how the singular value decomposition (SVD) can be used to efficiently represent human faces, in the so-called "eigenfaces" (Python code, part 3).
See MoreWhat Is a Control System and Why Should I Care? (Part 2)
This talk gives a glimpse of some of the methods and math that allow us to understand feedback systems. Continuing on from Part 1, it gives a description of how we use scientific principles...
See MoreTime Domain Analysis: Performance Metrics for a First Order System
In this video we introduce the concept of time domain analysis for dynamic systems. We examine a first order dynamic system and derive how various performan...
See MoreLeast Squares Regression and the SVD
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 MoreDrawing the root locus (Interactive Tool)
This page was developed to help student learn how to sketch the root locus by hand. You can enter a numerator and denominator for G(s)H(s) (i.e., the loop gain) and the program will guide...
See MoreSolving the 1D Wave Equation
In this video, we solve the 1D wave equation. We utilize the separation of variables method to solve this 2nd order, linear, homogeneous, partial differenti...
See MoreMachine Learning Control: Genetic Algorithms
This lecture provides an overview of genetic algorithms, which can be used to tune the parameters of a control law.
See MoreEuler (Gimbal Lock) Explained
In this video we explore Euler Rotations, the most common method for orienting objects in 3d. It's by-product "gimbal lock" can cause headaches for animators because the animated motion can...
See MoreTime domain - tutorial 11: system properties from impulse response
In this video, we learn how to find system properties from the impulse response. Specifically, memoryless, causal, stable and invertible systems will be ful...
See MoreFourier Series [Python]
This video will describe how to compute the Fourier Series in Python.
See MoreVelocity & Acceleration in Non-Inertial Reference Frames (Coriolis &...
In this video we derive a mathematical description of velocity and acceleration in non-inertial reference frame. We examine the effect of fictitious forces that are witnessed by observers on...
See MoreUnderstanding Model Predictive Control, Part 3: MPC Design Parameters
To successfully control a system using an MPC controller, you need to carefully select its design parameters. This video provides recommendations for choosing the controller sample time...
See MoreAn interactive feedforward tool for FeedForward Control
This interactive software tool is focused on basic and advanced concepts of feedforward control.
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 MoreInternal Model Control Example Problem
I walk through how to design a feedback controller based on a given process transfer function, using Internal Model Control.
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...
See MoreLecture 4: Electromechanical system Transfer functions and Analogous circuit...
Direct Synthesis Method Numerator Dynamics Problem
I walk through how to design a PID feedback controller when given a second order process with numerator dynamics, using the Direct Synthesis Method.
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