Discrete control #2: Discretize! Going from continuous to discrete domain

This is the second video in the discrete control series. It focuses on discretizing a continuous system - getting to the z-domain from the s-domain.

What's a Control System and Why Should I Care?

This paper is designed as a primer for college level STEM students about to take their first formal class in feedback control systems. This means that the explanations assume the reader has...

Systems Engineering, Part 5: Some Benefits of Model-Based Systems Engineerin...

Learn how model-based systems engineering (MBSE) can help you cut through the chaos of early systems development and get you from definition to execution more seamlessly.

You’ll hear the...

T-RECS System

The Transportable Rotorcraft Electronic Control System (T-RECS) is a collection of components that can be built into a rotorcraft demonstrator.  This hardware can be used as a test bed to...

Introduction to Classic Control Theory (Japanese)

A collection of video lectures by Yuki Nishimura covering an introduction to classic control theory.

What are Lead Lag Compensators? An Introduction.

This videos covers the very basic definition of what a lead/lag compensator is. Every control system engineer should have a basic understanding of lead/lag compensators since along with PID...

Radar Systems Engineering Lecture 4: The Radar Equation

This Free Radar Systems Engineering Course (video, audio and screen captured ppt slides) and separate pdf slides) has been developed as a first course in Radar Systems for first year...

Kalman and Bayesian Filters in Python

Introductory text for Kalman and Bayesian filters. All code is written in Python, and the book itself is written using Juptyer Notebook so that you can run and modify the code in your...

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...

ENG 1718 - MODELAGEM DE SISTEMAS DINÂMICOS (Portuguese)

Vídeos do curso Modelagem de Sistemas Dinâmicos. Mais informações na página do curso: https://helonayala.github.io/teaching/2018-msd/

Robotic Car - How to read Gyro Datasheets (Part 1)

Have you ever been lost trying to understand the information in a gyro datasheet? This video should help! In this first part I go through the mechanical characteristics of a MEMS gyro and...

Feedback in the Squishy Stuff: Introducing Chemical and Biological Process ...

Feedback doesn’t just happen in robots and self-driving cars, but in the regulation of our very bodies and in the ways in which we transform raw ingredients into materials we can use, be...

Introduction 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...

Why Do Radars Chirp? | Pulse Waveform Basics

This tech talk covers how different pulse waveforms affect radar and sonar performance. See the difference between a rectangular pulse and a linear frequency modulated pulse, as well as...

Radar Angular Resolution

This radartutorial.eu page describes angular resolution. Radar angular resolution is the minimum distance between two equally large targets at the same range which radar is able to...

MATLAB Online

Use MATLAB and Simulink through your web browser. No downloads or installations. MATLAB® Online™ provides access to MATLAB and Simulink from any standard web browser wherever you have...

DSP Related

Website with a lot of good content for any DSP scientists, researchers, and developers.

Pole 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.

Control Bootcamp: Limitations on Robustness

This video describes some of the fundamental limitations of robustness, including time delays and right-half plane zeros.

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...

Virtual Lab for a Two-tanks system

This is a virtual lab for a two-tank system that can be used for modelling and control learing/teaching purposes. Open-loop tests and closed-loop simulatons based on PI control or PI plus...

Autonomous Navigation, Part 1: What is Autonomous Navigation?

Navigation is the ability to determine your location within an environment and to be able to figure out a path that will take you to a goal. This video provides an overview of how we get a...

Simulink Onramp

Learn the basics of how to create, edit, and simulate models in Simulink®. Use block diagrams to represent real-world systems and simulate components and algorithms.

Control Bootcamp: LQG Example in Matlab

This video combines the LQR and Kalman filter in Matlab on the example of an inverted pendulum on a cart. We stabilize the full nonlinear system with a measurement of a single variable (the...

Introduction 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...