
Adaptive Control (Part I) — Hypersonics and the MIT Rule
This blog post introduces the algorithm that ruled the adaptive flight control system of the first manned hypersonic aircraft, the North American X-15.
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 MoreSystem Identification: Regression Models
This lecture provides an overview of modern data-driven regression methods for linear and nonlinear system identification, based on the dynamic mode decomposition (DMD), Koopman theory, and...
See MoreHow are Beamforming and Precoding Related?
Explains the relationship between Beamforming and Precoding in multi-antenna communication systems. Also discusses the relationship to Diversity.
See MoreNyquist Stability Criterion
The Wikipedia article on Nyquist Stability Criterion. This covers the Nyquist plot, the Cauchy argument principle, and the stability criterion itself. A mathematical derivation is also...
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 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 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 MoreControl Bootcamp: Overview
Overview lecture for bootcamp on optimal and modern control. In this lecture, we discuss the various types of control and the benefits of closed-loop feedback control.
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 MoreZáklady automatizácie a teórie systémov – videokurz (Slovak)
Pozrite si videokurz zo základov teórie systémov a automatizácie. Náš kurz má 7 lekcií.
See MoreMeasuring Angles with FMCW Radar | Understanding Radar Principles
Learn how multiple antennas are used to determine the azimuth and elevation of an object using Frequency Modulated Continuous Wave (FMCW) radar.
By looking at the phase shift between the...
See MoreGeodetic Coordinates: Computing Latitude and Longitude
In this video we show how to compute the geodetic latitude and terrestrial longitude if given the velocity north and east. This is useful for simulating a body moving over a spheroid Earth...
See MoreFeedforward tuning rules for measurable disturbances with PID control: a tut...
Feedforward control can be considered as the most well-known control approach to deal with measurable disturbances. It started to be used almost 100 years ago, and since then it is being...
See MoreAutomotive Radar MATLAB Documentation and Examples
MATLAB documentation and examples for probabilistic and physics-based radar sensor models, simulation of MIMO antennas, waveforms, I/Q radar signals, micro-Doppler signatures, detections...
See MoreHow Antennas Work
Antennas constitute as a major component in various communication systems, signal transmission and many others. It is important to understand how they work and create propagating waves in...
See MoreREAD FIRST: How to learn PLC's and get into the Industrial Automation World ...
r/PLC is dedicated to discussion and questions about Programmable Logic Controllers (PLCs): "an industrial digital computer that has been ruggedized and adapted for the control of...
See MoreA Tutorial on PES Pareto Methods for Analysis of Noise Propagation in Feedba...
This is the recorded talk of the paper by the same title.
See MoreControl Bootcamp: Cautionary Tale About Inverting the Plant Dynamics
Here we show an example of why it can be a very bad idea to invert some plant dynamics, for example with unstable eigenvalues, for loop shaping.
See MoreAutonomous Navigation, Part 6: Metrics for System Assessment
Take a systems engineering approach to verifying the autonomous navigation system end to end and learn how simulations and physical tests can complement each other. The video also covers a...
See MoreIntro to Data Science: Overview
This lecture provides an introductory overview to data science. I will discuss the high-level goals of this lecture series, and how data science is about asking and answering questions with...
See MoreRadar 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 MoreData-Driven Control: Overview
Overview lecture for series on data-driven control. In this lecture, we discuss how machine learning optimization can be used to discover models and effective controllers directly from data...
See MoreKristin Pettersen Lectures on Nonlinear Control
Kristin Pettersen Lectures on Nonlinear Control, including many of the necessary mathematical tools and concepts.
See MoreVideo Lectures on Automatic Control
A collection of 32 video lectures on automatic control by Dr. Rajesh Joseph Abraham.
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