
Introduction to Hybrid Beamforming
This MATLAB example introduces the basic concept of hybrid beamforming and shows how to simulate such a system.
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 MorePole Placement for the Inverted Pendulum on a Cart [Control Bootcamp]
Here we use the 'place' command in Matlab to design full-state feedback gains to specify the eigenvalues of the closed-loop system. This is demonstrated on the inverted pendulum on a cart.
See MoreRadar Systems Engineering Lecture 4: The Radar Equation
This Free Radar Systems Engineering Course (video, audio and screen captured ppt slides) and separate pdf slides) has been developed as a first course in Radar Systems for first year...
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 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 MoreAutonomous Navigation, Part 3: Understanding SLAM Using Pose Graph Optimizat...
This video provides some intuition around Pose Graph Optimization—a popular framework for solving the simultaneous localization and mapping (SLAM) problem in autonomous navigation.
We’ll...
See MoreFeedback in the Squishy Stuff: Introducing Chemical and Biological Process ...
Feedback doesn’t just happen in robots and self-driving cars, but in the regulation of our very bodies and in the ways in which we transform raw ingredients into materials we can use, be...
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 MoreIntroduction to Anomaly Detection for Engineers
Anomaly detection is the process of identifying events or patterns that differ from expected behavior. This is important for applications like predictive maintenance but can be hard to...
See MoreMinami's Control School (Japanese)
教員のみなみゆうきです.専門は制御工学です.制御工学は「モノの動きをデザインする科学」です.制御工学を勉強したいという方に,僕の知識をすこしでも届けられると良いなと思い,YouTubeをやっています.
2019年の秋,講義ノートの作成の様子を撮影し,YouTubeに動画をアップロードしたのを契機として,動画作成をはじめました...
See MoreProcess Control is Inventory Control
You change the inventory of heat to change temperature. You change the inventory of material to change level. Understanding how the inventory relates to the controlled variable is...
See MoreVectors, Dot Products, Cross Products - 3D Kinematics
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 MoreZáklady automatizácie a teórie systémov – videokurz (Slovak)
Pozrite si videokurz zo základov teórie systémov a automatizácie. Náš kurz má 7 lekcií.
See MoreUnderstanding the Discrete Fourier Transform and the FFT
The discrete Fourier transform (DFT) transforms discrete time-domain signals into the frequency domain. The most efficient way to compute the DFT is using a fast Fourier transform (FFT)...
See MoreRadar Angular Resolution
This radartutorial.eu page describes angular resolution. Radar angular resolution is the minimum distance between two equally large targets at the same range which radar is able to...
See MoreControlling Robotic Swarms
Come with me to the Robotics, Aerospace, and Information Networks lab at the University of Washington to learn the basics of swarm robotics. Find out how simple distributed algorithms can...
See MoreSystems Engineering, Part 5: Some Benefits of Model-Based Systems Engineerin...
Learn how model-based systems engineering (MBSE) can help you cut through the chaos of early systems development and get you from definition to execution more seamlessly.
You’ll hear the...
See MoreControl Bootcamp: LQG Example in Matlab
This video combines the LQR and Kalman filter in Matlab on the example of an inverted pendulum on a cart. We stabilize the full nonlinear system with a measurement of a single variable (the...
See MoreReinforcement Learning: An Introduction
From the book introduction:
The idea that we learn by interacting with our environment is probably the first to occur to us when we think about the nature of learning. When an infant plays...
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 MoreVirtual Lab for a Two-tanks system
This is a virtual lab for a two-tank system that can be used for modelling and control learing/teaching purposes. Open-loop tests and closed-loop simulatons based on PI control or PI plus...
See MoreSending digital information over a wire | Networking tutorial (1 of 13)
This video lecture is the beginning of an exploration of computer networking with the basics of sending digital information with a copper wire.
Model Reference Adaptive Control Fundamentals (Dr. Tansel Yucelen)
Forum on Robotics & Control Engineering (FoRCE, http://force.eng.usf.edu/) Seminar Series: "Model Reference Adaptive Control Fundamentals" (Dr. Tansel Yucelen)
See MoreRobotic Car - A Simple Way to Build a Model
You don't always have to work out the math in order to build up a model of your system. Sometimes generating a model is as easy as running a simple test and inspecting the results. I show...
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