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...

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...

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.

Measuring 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...

MATLAB toolbox for control 101 course

Community toolbox project led by Anthony Rossiter and sponsored by MathWorks. The project incorporates input from various international collaborators. The aim is to make the developed...

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...

Nyquist 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...

An Artificial Intelligence Primer

This blog post is a great primer providing definitions for basic terms used in AI and machine learning (ML) such as supervised learning, unsupervised learning, and transfer learning...

edX course: Dynamics and Control

This is an interactive course about the basic concepts of Systems, Control and their impact in all the human activities. First, the basic concepts of systems, dynamics, structure and control...

Mathworks Model Reference Adaptive Control Overview

This website provides an overview of the mathematics behind Model Reference Adaptive Control (MRAC). MRAC is a model-based, real-time adaptive control algorithm that computes control actions...

Radar 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.

Neural Network Overview

This lecture gives an overview of neural networks, which play an important role in machine learning today.

How are Beamforming and Precoding Related?

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

Robotic Car - How to read Gyro Datasheets (Part 2)

Have you ever been lost trying to understand the information in a gyro datasheet? This video should help! In this second part I explain the purpose of a buffer for a MEMS gyro and explain...

Extremum Seeking Control

This lecture provides an overview of extremum-seeking control (ESC), which is an adaptive equation free method of controlling nonlinear systems. A sinusoidal perturbation is added to the...

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...

Linearizing 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...

Control 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...

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...

Video Lectures on Automatic Control

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

CS224n: Natural Language Processing with Deep Learning | Winter 2021

This course covers the foundations of the effective modern methods for deep learning applied to NLP, a big picture understanding of human languages and the difficulties in understanding and...

Lectures on Modelling and Control of Dynamic Systems (French)

Lectures on Modelling and Control of Dynamic Systems from Patrick Lanusse of Bordeaux INP, France.

Online and Recursive System Identification | System Identification, Part 4

Online system identification algorithms estimate the parameters and states of a model as new data is measured and available in real-time or near real-time. Brian Douglas covers what online...

Reinforcement 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...

Controlling 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...