
Control Bootcamp: Sensitivity and Complementary Sensitivity
Here we explore the sensitivity and complementary sensitivity functions, which are critical in understanding robustness and performance.
See MoreComputing the DFT Matrix
This video discusses how to compute the Discrete Fourier Transform (DFT) matrix in Matlab and Python. In practice, the DFT should usually be computed using the fast Fourier transform (FFT)...
See MoreTrimming 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 MoreControllability of a Linear System: The Controllability Matrix and the PBH T...
In this video we explore controllability of a linear system. We discuss two methods to test for controllability, the controllability matrix as well as the P...
See MorePeter Ponders PID - IAE,ITAE,ISE Performance indicators
Performance indicators can be used to compute closed loop pole locations. Only one gain parameter is required to move the pole locations closer to the origi...
See MoreTransfer Functions: Introduction and Implementation
In this video we introduce transfer functions and show how they can be derived from a set of linear, ordinary differential equations. We also examine how to...
See MoreAuto Tuning a Small DC Motor in Torque Mode
I was really testing the picture in picture feature of the Screen Flow software I use to make these videos. I knew the auto tuning would work. I kept the v...
See MoreMachine Learning Control: Genetic Programming
This lecture explores the use of genetic programming to simultaneously optimize the structure and parameters of an effective control law.
See MoreIntroduction to Partial Differential Equations
This is the first lesson in a multi-video discussion focused on partial differential equations (PDEs).In this video we introduce PDEs and compare them with o...
See MoreUnderstanding Model Predictive Control, Part 5: How To Run MPC Faster
This video starts by providing quick tips for implementing MPC for fast applications. If you need to further decrease the sample time for your fast applications, you can use explicit MPC...
See MoreTime domain - tutorial 4: transformation examples
In this video, we solve examples to practice different signal transformations using a systematic approach. By the end of this lecture, you should be able to ...
See MoreBode Plots by Hand: Complex Poles or Zeros
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 MoreCascade Control Intro
How can we improve the disturbance rejection of our controllers using additional, relevant measurements? Tune in to find out!
See MoreDynamic Modeling in Process Control
I'll show you how we can build the dynamic models necessary to derive process transfer functions as an introduction to process control.
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 MoreEquations of Motion for a Planar Vehicle
In this video we outline equations of motion for a simple planar vehicle. This model is suitable for vehicles such as boats or hovercraft that that are rest...
See MoreIntroduction to the Fourier Transform (Part 1)
This video is an introduction to the Fourier Transform. I try to give a little bit of background into what the transform does and then I go step by step through explaining the Inverse...
See MoreUsing a Homogeneous Transformation Matrix to Combine Rotation and Translatio...
In this video we discuss how to properly deal with coordinate frames that are both rotated and translated from one another. We develop a homogeneous transfo...
See MoreDesigning a Lead Compensator with Bode Plot
This video walks through a phase lead compensator example using the Bode Plot method.
See MoreThe Routh-Hurwitz Stability Criterion
In this video we explore the Routh Hurwitz Stability Criterion and investigate how it can be applied to control systems engineering. The Routh Hurwitz Stabi...
See MorePeter Ponders PID - Cascade Control Part1
I cover whether cascade control is necessary. Why there needs to be a feed back for every loop. How to calculate gains. Bode plots and ratio of the inner t...
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 MoreRelationship 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 MoreControl Systems Lectures - Transfer Functions
This lecture describes transfer functions and how they are used to simplify modeling of dynamic systems.
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...
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