
Time domain - tutorial 7: system properties
In this video, we cover system properties. The concept of memoryless, causal, stable, invertible, time-invariant and linear systems is intuitively explained...
See MoreControl 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 MoreMachine Learning - Andrew Ng, Stanford University
Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech...
See MoreBode Plots by Hand: Real Constants
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 simple transfer function; a real constant.
See MoreTime domain - tutorial 10: interconnection of LTI systems
In this video, we learn how to connect LTI systems to make a bigger system. The learning objectives are to:1) get familiar with parallel and series intercon...
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 MorePeter Ponders PID, Natural Frequency vs Frequency of Acceleration
This video is intended for servo hydraulic system designers and those that program hydraulic servo systems but it does show how several of the techniques sho...
See MoreSecond Order Dynamics in Process Control
How do we simulate two first order transfer functions in series, a inherently second order system, or two coupled differential equations? Tune in to find out!
See MoreUnderstanding Model Predictive Control, Part 4: Adaptive, Gain-Scheduled and...
This video explains the type of MPC controller you can use based on your plant model, constraints, and cost function. An optimization problem with these properties is a convex one, and you...
See MorePeter Ponders PID - Observers/Estimators
Visually Determining Transfer Functions
Process Control classes can get pretty hard to follow when you lose sight of what transfer functions really are. How do you get them in the first place?
See MoreDrone Simulation and Control, Part 4: How to Build a Model for Simulation
This video describes how a good model of the drone and the environment it operates in can be used for simulation and test. It shows how nonlinear and linear models are both needed for...
See MoreTikZ source Code: Cascade of several subsystems
TikZ source Code: Cascade of several subsystems.
See MoreDeploying Deep Learning Models | Deep Learning for Engineers, Part 5
This video covers the additional work and considerations you need to think about once you have a deep neural network that can classify your data. We need to consider that the trained network...
See MoreFourier Series [Matlab]
This video will describe how to compute the Fourier Series in Matlab.
See MoreFuzzy Inference System Walkthrough | Fuzzy Logic Part 2
This video walks step-by-step through a fuzzy inference system. Learn about concepts like membership function shapes, fuzzy operators, multiple-input inference systems, and rule firing...
See MoreTikZ source Code: Feedback system
TikZ source Code: Feedback system
See MoreBuilding a Matlab/Simulink Model of an Aircraft: the Research Civil Aircraft...
In this video we implement the RCAM model as a Matlab script that is called from a Simulink model. The result is a fully encapsulated Simulink model of a no...
See MoreSetting Up Your Radio Connection - dRehmFlight VTOL
This video will show you how to set up your radio to work with dRehmFlight VTOL. The code supports PWM, PPM, and SBUS type receivers, allowing you to connect and use 6 channels within the...
See MoreSketching Root Locus Part 2
This is the second part of how to sketch a root locus by hand. However instead of following the normal rules for sketching a locus that you'd see in a book, I decided to explain the rules...
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 MoreIntroduction to Full State Feedback Control
In this video we introduce the concept of a full state feedback controller. We discuss how to use this system to place the eigenvalues of the closed loop sys...
See MoreLecture 28: Lag Compensator Design using Bode Plots
Final Value Theorem
In this video we discuss the Final Value Theorem. Given a signal in the Laplace domain, this allows us to predict the steady state value of the signal in th...
See More