
PID Explained
A qualitative explanation of P, I, & D actions using graphs.
See MoreLinearizing Around a Fixed Point [Control Bootcamp]
This lecture describes how to obtain linear system of equations for a nonlinear system by linearizing about a fixed point. This is worked out for the simple pendulum "by-hand" and in...
See MoreRegulatory PID (Polish)
W tym odcinku, opisze wam podstawy działania regulatorów PID.
See MoreAdaptive 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 MoreModel Identification and Adaptive Control - From Windsurfing to Telecommunic...
This book is based on a workshop entitled: "Model Identification and Adaptive Control: From Windsurfing to Telecommunications" held in Sydney, Australia, on December 16, 2000. The workshop...
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 MoreGain a better understanding of Root Locus Plots using Matlab
In this video I go through various ways to use Matlab to plot and visualize the root locus.
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 MoreAutonomous Navigation, Part 5: What Is Extended Object Tracking?
In many practical scenarios, there are other objects that may need to be observed and tracked in order to effectively navigate within an environment. This video will show extended object...
See MoreIntroduction to Linear Quadratic Regulator (LQR) Control
In this video we introduce the linear quadratic regulator (LQR) controller. We show that an LQR controller is a full state feedback controller where the gain matrix K is computed by solving...
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 MoreFast chirp FMCW Radar in automotive applications
FMCW (frequency-modulated continuous wave radar) modulations have been popularly implemented in the automotive radar applications. This document demonstrates system requirement for a new...
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 More3D Kinematics, Free Falling, Reference Frames
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 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 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 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 MoreSystem Identification: Full-State Models with Control
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 MoreUnderstanding Sensor Fusion and Tracking, Part 6: What Is Track-Level Fusion...
Gain insights into track-level fusion, the types of tracking situations that require it, and some of the challenges associated with it.
You’ll see two different tracking architectures—track...
See MoreWhat are Phased Arrays?
This video introduces the concept of phased arrays. An array refers to multiple sensors, arranged in some configuration, that act together to produce a desired sensor pattern. With a phased...
See MoreSingular Value Decomposition (SVD): Overview
This video presents an overview of the singular value decomposition (SVD), which is one of the most widely used algorithms for data processing, reduced-order modeling, and high-dimensional...
See MoreNathan Kutz:"Data-driven Discovery of Governing Physical Laws"
Seminar by Dr.Nathan Kutz on "Data-driven Discovery of Governing Physical Laws" on 10/31/2018 CICS Seminar Series
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 MoreThe Linear Quadratic Regulator (LQR)
Lecture notes for ECE717 on LQR control by Laurent Lessard. There is a section that shows how the Algebraic Riccati Equation is part of the LQR solution by "completing the square".
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