Discrete control #3: Designing for the zero-order hold

This is the third video on discrete control and in this video, I want to clear up a confusion that I caused last time regarding using the ZOH method to discretize a continuous controller and...

Converting 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...

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)

Modeling Perturbations and Element Failures in a Sensor Array

This MATLAB example shows how to model amplitude, phase, position and pattern perturbations as well as element failures in a sensor array.

Why Padé Approximations Are Great! | Control Systems in Practice

Watch an introduction to Padé approximations. Learn what Padé approximations are and how to calculate them, why they are important, and when to use them—specifically in the context of time...

Autonomous 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...

Peter Ponders PID - Introduction

The purpose of this video is to inform the viewer about what to expect. My videos go much deeper than the typical videos. They are geared for graduate st...

Control Bootcamp: Observability Example in Matlab

This video explores observability in Matlab on the example system of an inverted pendulum on a cart.

Sending 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.
 

Regulatory PID (Polish)

W tym odcinku, opisze wam podstawy działania regulatorów PID.

Reinforcement 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...

Control 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.

What Is a Con­trol Sys­tem and Why Should I Care? (Part 2)

This second video introduces some of the methods that engineers use to build control systems.  It shows how we use science to help us derive models of systems from both measurements and...

Reinforcement Learning with MATLAB.

This repository contains series of modules to get started with Reinforcement Learning with MATLAB.

It is divided into 4 stages.

In Stage 1, we start with learning RL concepts by manually...

How are Beamforming and Precoding Related?

Explains the relationship between Beamforming and Precoding in multi-antenna communication systems. Also discusses the relationship to Diversity.

My 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...

Model 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...

A* Pathfinding (E01: algorithm explanation)

Welcome to the first part in a series teaching pathfinding for video games. In this episode we take a look at the A* algorithm and how it works.

Control System Lectures - Bode Plots, Introduction

This lecture is an introduction to frequency response methods, and in particular describes the Bode plot. I go through how it is generated and why we use it to visualize the frequency...

Machine Learning Control: Overview

This lecture provides an overview of how to use machine learning optimization directly to design control laws, without the need for a model of the dynamics.

Intro to Data Science: What is Data Science?

This lecture provides an overview of the various components of data science, including data collection, cleaning, and curation, along with visualization, analysis, and machine learning (i.e...

Introduction to the A* Algorithm

An interactive visual explanation of the A* algorithm using motivating examples from computer games.

Extremum Seeking Control Applications

This lecture highlights some of the many applications of extremum-seeking control (ESC) performed by Steve Brunton and collaborators.

Video Lectures on Automatic Control

A collection of 32 video lectures on automatic control by Dr. Rajesh Joseph Abraham.

Basic course of control theory (Hungarian and English)

The basic course of control theory is taught in the 3rd year for the students specialized in information technology at the Faculty of Electrical Engineering and Informatics of the Budapest...