
Robust Control, Part 3: Disk Margins for MIMO Systems
This video shows how margin can be used to assess the robustness of multi-input, multi-output systems. We’ll show how disk margin is a more complete way to represent margin for MIMO systems...
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...
See MoreSo You Want to be a Systems Engineer
A presentation by Gentry Lee on what qualities and characteristics make a great systems engineer. At the time of the presentation, Gentry Lee was the Chief Engineer for the Solar System...
See MoreAutodesk Tinkercad
Tinkercad is a free, easy-to-use web app that equips the next generation of designers and engineers with the foundational skills for innovation: 3D design, electronics, and coding!
See MoreLectures on Modelling and Control of Dynamic Systems (French)
Lectures on Modelling and Control of Dynamic Systems from Patrick Lanusse of Bordeaux INP, France.
See MoreThe Kalman Filter [Control Bootcamp]
Here, we discuss the Kalman Filter, which is an optimal full-state estimator, given Gaussian white noise disturbances and measurement noise.
See MoreControl Bootcamp: Introduction to Robust Control
This video motivates robust control with the famous 1978 paper by John Doyle, titled "Guaranteed Margins for LQG Regulators"... Abstract: There are none.
See MoreMATLAB Discovery Page - Anomaly Detection
Anomaly detection is the process of identifying events or patterns that differ from expected behavior. Anomaly detection can range from simple outlier detection to complex machine learning...
See MoreMy Sole Advise to Data Scientists on Coursera & Quora
This blog post by Tarry Singh answers questions including "How do I get started in the field on Machine Learning, Deep Learning or Artificial Intelligence" and "How do I advance from the...
See MoreRobust Control, Part 4: Working with Parameter Uncertainty
The previous two videos showed a few different ways to quantify how robust a system is to model and plant uncertainty by looking at how much input and output variation it can handle before...
See MoreOnline and Recursive System Identification | System Identification, Part 4
Online system identification algorithms estimate the parameters and states of a model as new data is measured and available in real-time or near real-time. Brian Douglas covers what online...
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 MoreIntro to Data Science: Answering Questions with Data
This lecture describes the central aspect of data science: asking and answering questions with data. In particular, we discuss the thought process and progression of questions one might ask...
See MoreedX course: Dynamics and Control
This is an interactive course about the basic concepts of Systems, Control and their impact in all the human activities. First, the basic concepts of systems, dynamics, structure and control...
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 MoreConverting Constrained Optimization to Unconstrained Optimization Using the ...
In this video we show how to convert a constrained optimization problem into an approximately equivalent unconstrained optimization problem using the penalty...
See MoreWhat Is a Control System and Why Should I Care?
This is a 25 minute abbreviated version of the Part 1 & Part 2 talk. It goes through the basic ideas while skipping some of the details and examples of the longer talks. The talk abstract...
See MoreIntroduction to Hybrid Beamforming
This MATLAB example introduces the basic concept of hybrid beamforming and shows how to simulate such a system.
See More1D Kinematics - Speed, Velocity, Acceleration
Walter Lewin is one of the most reputed professors and was a former lecturer at MIT. His free to watch series on YouTube titled 8.01 is an excellent one for undergrads and high school...
See MorePathfinding with A*
An interactive visual explanation of the A* pathfinding algorithm. This resource uses motivating examples from computer games.
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Systems Engineering, Part 2: Towards a Model-Based Approach
The role of systems engineering is to help find and maintain a balance between the stakeholder needs, the management needs, and the engineering needs of a project. So we can think of it as...
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 MoreComputer Aids for Chemical Engineering
A curated list of resources for Chemical Engineering students. The resources include syllabi, schedules, course notes, textbooks, screencasts, software, hardware, and other useful links.
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 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...
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