
Type
Experience
Scope
Learning Dynamic Systems & Control Engineering with a Video Game
Engineering Students at Northern Illinois University are learning one of their core subjects, Dynamic Systems & Control, with the aid of a video game.
See MoreControl Loop Foundation Batch and Continuous Processes - Interactive Source ...
Control Loop Foundation contains workshops that allow the reader to get hands on experience through this web interface. Once a lab is selected, then you may access workshop directions and...
See MorePID Explained
A qualitative explanation of P, I, & D actions using graphs.
See MoreA simple MEMS gyro model using MATLAB / Simulink
This video walks through how to model a simple MEMS gyroscope using MATLAB/Simulink. At the end I show you how to linearize this model to use in your linear control loop design and analysis.
See MoreA* Pathfinding (E01: algorithm explanation)
Welcome to the first part in a series teaching pathfinding for video games. In this episode we take a look at the A* algorithm and how it works.
See MoreControl Systems in Practice, Part 5: A Better Way to Think About a Notch Fil...
This video describes an intuitive way to approach notch filter design by thinking about the problem as an inverted, lightly damped, second-order low-pass filter. Then, two additional poles...
See MoreOnline Fault Detection for a DC Motor
Program embedded processors to estimate parameters and detect changes in motor dynamics in real time using System Identification Toolbox™.
See MorePassivity-Based Control to Guarantee Stability | Control Systems in Practice...
Learn about passivity-based control to guarantee closed-loop stability of feedback systems. Consider different ways to assess the stability of systems other than looking at gain and phase...
See MoreRespect the Unstable
An understanding of fundamental limitations is an essential element in all engineering. Shannon's early results on channel capacity have always had center court in signal processing...
See MoreControl Bootcamp: Limitations on Robustness
This video describes some of the fundamental limitations of robustness, including time delays and right-half plane zeros.
See MoreGain Scheduling (Pre-programmed Controller Parameter Adjustment)
Process gain and time-constants change with operating flow rate, tank levels, temperatures, etc. This often requires re-tuning of the controller coefficient values. However, once done...
See MorePost-Pandemic: A Hybrid Lab Experience
This article discusses the importance of a hybrid laboratory model, blending physical hardware with digital twins. Example using the Quanser Interactive Lab (QLabs) platform is given.
See MoreDirectivity and Antenna Gain - radartutorial.eu
This page describes antenna directivity and gain. The directivity of an antenna is the ratio of the power density S (radiant intensity per unit area) of the real antenna in its main...
See MoreThe Linear Quadratic Regulator
In these notes, we will derive the solution to the finite-horizon linear quadratic regulator (LQR) problem in several different ways. Fundamentally, LQR can be viewed as a large least...
See MoreInteractive Course for Control Theory
Control Theory is a topic that finds a widespread application throughout engineering and natural sciences. It is very common in electrical, mechanical and process engineering. Especially...
See MoreImprove SNR and Capacity of Wireless Communication Using Antenna Arrays
The goal of a wireless communication system is to serve as many users with the highest possible data rate given constraints such as radiation power limit and operating budget. To improve the...
See MoreControl System Lectures - Bode Plots, Introduction
This lecture is an introduction to frequency response methods, and in particular describes the Bode plot. I go through how it is generated and why we use it to visualize the frequency...
See MoreRegulatory PID (Polish)
W tym odcinku, opisze wam podstawy działania regulatorów PID.
See MorePID Controller Variations
It is important to understand the variations on the PID algorithm when tuning and when choosing a version that is consistent within your use context. Unfortunately, there are many names for...
See MoreAutonomous Navigation, Part 1: What is Autonomous Navigation?
Navigation is the ability to determine your location within an environment and to be able to figure out a path that will take you to a goal. This video provides an overview of how we get a...
See MoreIntro to Data Science: What is Data Science?
This lecture provides an overview of the various components of data science, including data collection, cleaning, and curation, along with visualization, analysis, and machine learning (i.e...
See MoreWhat is a Matched Filter?
This video explains the Matched Filter from a signals perspective.
See MoreBumpless Transfer and Tuning
Switching from MAN to AUTO mode or LOCAL to CASCADE or changing the controller integral time should not cause a change in the controller output, a bump. But a primitive coding of the PID...
See MoreSprint - Test Flight 8 and Data Review
This video is part of a series that details the design, build, and test of Sprint - a thrust vector controlled model rocket by Joe Barnard of BPS Space.
See MoreData-Driven Control: Linear System Identification
Overview lecture on linear system identification and model reduction. This lecture discusses how we obtain reduced-order models from data that optimally capture input--output dynamics.
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