
Radar Design with the Radar Designer App
The Radar Designer app is an interactive tool that assists engineers and system analysts with high-level design and assessment of radar systems at the early stage of radar development.
See MoreWhy multichannel beamforming is useful for wireless communication
Wireless communication systems like 5G and WiFi usually have to serve many users simultaneously and they have to deal with multiple paths between two radios when operating in a scattering...
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 MoreMeasurements, Transmission Signals, and Issues
This is an introduction to scaled information transmission signals (for example 4-20 mA, 3-15 psig, etc.), the actual sensed signals (like using orifice dP to infer flow rate, or temperature...
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 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 MoreUsing ‘fminsearch’ to Minimize a Function Specified by a File with Extra Par...
In this video we show 4 different ways to use/call Matlab’s ‘fminsearch’ function to perform unconstrained optimization.Topics and timestamps:0:00 – Introduc...
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 MoreIntroduction to Classic Control Theory (Japanese)
A collection of video lectures by Yuki Nishimura covering an introduction to classic control theory.
See MoreMATLAB Command: resid
This MATLAB command is part of the system identification toolbox and provides a way to compute and test residuals.
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.
See MoreAndroid and iPhone E-Learning App for Nyquist Stability Criterion
In our Nyquist App, you can analyze the stability of the closed loop by using the Nyquist stability criterion. With the Nyquist stability criterion, you can determine the stability of the...
See MoreSystems Engineering, Part 4: An Introduction to Requirements
Get an introduction to an important tool in systems engineering: requirements. You'll learn about the three things every requirement must have and what makes a requirement valid. You'll also...
See MoreA Hybrid Lab Experience: Blending Hands-on Explorations with the Flexibility...
This case study examines how the Earth and Space Science and Engineering (ESSE) department at York University in Toronto offered a meaningful remote laboratory experience to over 180...
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 MoreWhy Padé Approximations Are Great! | Control Systems in Practice
Watch an introduction to Padé approximations. Learn what Padé approximations are and how to calculate them, why they are important, and when to use them—specifically in the context of time...
See MoreTime Series Anomaly Detection Using Deep Learning
This example shows how to detect anomalies in sequence or time series data.
To detect anomalies or anomalous regions in a collection of sequences or time series data, you can use an...
See MoreInteractive Tool about control signal saturation (windup) with PID control
The purpose of this module is to give a familiarity with the phenomenon of integral windup and a method for avoiding it. The module shows process outputs and control signals for unlimited...
See MoreAveraging and Vibrational Control of Mechanical Systems
Abstract. This paper investigates averaging theory and oscillatory control for a large class of mechanical systems. A link between averaging and controllability theory is presented by...
See MoreTuning PID Controllers
Tuning controllers is the procedure for choosing the coefficient values for the P, I and D modes. It must be simple to execute, fast, and non-disruptive to the operating process. Heuristic...
See MoreMATLAB toolbox for control 101 course
Community toolbox project led by Anthony Rossiter and sponsored by MathWorks. The project incorporates input from various international collaborators. The aim is to make the developed...
See MoreCascade Control
What is Cascade Control and why use it?
See MoreRobotic Car - How to read Gyro Datasheets (Part 1)
Have you ever been lost trying to understand the information in a gyro datasheet? This video should help! In this first part I go through the mechanical characteristics of a MEMS gyro and...
See MoreQuanser QUBE-Servo 2: Low-cost Teaching Platform for Controls
The Quanser QUBE-Servo 2 is a fully integrated, modular servomotor lab experiment designed for teaching mechatronics and control concepts at the undergraduate level. Ideal for teaching speed...
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