
Math Background for Machine Learning from Carnegie Melon University
This course provides a place for students to practice the necessary mathematical background for further study in machine learning — particularly for taking 10-601 and 10-701. Topics covered...
See MoreToys for Control Education
Teaching materials for control engineering education that run in web browsers. Speed control, position control, step response of 2nd order system, pole and impulse response, and rocket.
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 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 MoreZáklady automatizácie a teórie systémov – videokurz (Slovak)
Pozrite si videokurz zo základov teórie systémov a automatizácie. Náš kurz má 7 lekcií.
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 MoreOverride and Reset Feedback
Override controllers are for safety or switching to auxiliary variables. The non-selected controller needs to prevent becoming wound up.
See MoreMATLAB function: phased.LCMVBeamformer
The phased.LCMVBeamformer object implements a narrowband linear-constraint minimum-variance (LCMV) beamformer for a sensor array. The LCMV beamformer belongs to the family of constrained...
See MoreControl Design Onramp with Simulink
Learn the basics of feedback control design in Simulink®. Adjust the gains of a PID controller to change the dynamics of a physical system and get the closed-loop system behavior that you...
See MoreOutput Characterization to Linearize a Loop - Control valve application
This application paper explains how a control valve created nonlinearity in a loop and how output characterization solved the problem
See MoreControl Systems in Practice, Part 1: What Control Systems Engineers Do
This video walks through the phases of a typical project and describes what it means to be a control systems engineer. It covers the concept formulation phase, in which your job is to help...
See MoreReal-Time Software Implementation of Analog Filters
Modelling analog filters, discretisation, and implementation of the digitally-equivalent filters on a real-time, embedded system (STM32). Includes theory, DSP, firmware, and results.
See MorePrincipal Component Analysis (PCA) 2 [Python]
This video describes how the singular value decomposition (SVD) can be used for principal component analysis (PCA) in Python (part 2).
See MoreVideo Lectures on Automatic Control
A collection of 32 video lectures on automatic control by Dr. Rajesh Joseph Abraham.
See MoreTCLab: An Inexpensive Experimental Platform for Students to Learn Feedback
The temperature control lab (TCLab) reinforces process feedback control with real data. The TCLab hardware consists of an Arduino® shield that fits onto a standard Arduino Leonardo...
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.
Learning Dynamic Systems & Control Engineering with a Video Game
Engineering Students at Northern Illinois University are learning one of their core subjects, Dynamic Systems & Control, with the aid of a video game.
See MoreInteractive Tool about PID tuning rules
Hundreds of PID design methods are available in literature. Many of them are very similar and sometimes it is not straightforward to understand their purposes. This interactive software tool...
See MoreInverted Pendulum on a Cart [Control Bootcamp]
In this video, we introduce an example system to control: an inverted pendulum on a cart. We describe the state-space, find the fixed points, and simulate the system in Matlab. Because the...
See MoreNonlinear Oscillations, Dynamical Systems, and Bifurcations of Vector Fields...
From the reviews: "This book is concerned with the application of methods from dynamical systems and bifurcation theories to the study of nonlinear oscillations. Chapter 1 provides a review...
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".
See MoreUnderstanding P, I, and D
Understanding what the proportional, integral, and derivative terms do within the PID controller is essential to choose appropriate action, trouble shoot controllers, chose appropriate...
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 MoreDecoding a Laplace Representation of a Controller
A how to relate the Laplace notation to the PID controller variation and features
See MoreReinforcement Learning for Engineers, Part 5: Overcoming the Practical Chall...
This video addresses a few challenges that occur when using reinforcement learning for production systems and provides some ways to mitigate them. Even if there aren’t straightforward ways...
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