Temperature Control Lab (TCL)

The temperature control lab is an application of feedback control with an Arduino, an LED, two heaters, and two temperature sensors. The heater power output is adjusted to maintain a desired...

Introduction: PID Controller Design

In this tutorial we will introduce a simple, yet versatile, feedback compensator structure: the Proportional-Integral-Derivative (PID) controller. The PID controller is widely employed...

The AVA Flight Computer

This video describes the board design, hardware architecture, and software components of the All Vehicle Avionics (AVA) flight computer that was designed by Joe Barnard of BPS Space.  This...

ITSIE: An Interactive Software Tool for System Identification Education

ITSIE is an Interactive Tool for System Identification Education. The tool is developed using Sysquake, a Matlab-like language with fast execution and excellent facilities for interactive...

Extremum Seeking Control in Matlab

This lecture explores extremum-seeking control (ESC) on a simple example in Matlab. In particular, a discrete-time (digital) version of ESC is coded in a Matlab script.

Improving the Beginner's PID - Introduction

In conjunction with the release of the new Arduino PID Library Brett has released this series of posts that explain his PID code. He start's with what he call's “The Beginner’s PID.”  He...

Resonance in Nature and Bioinspired Squid Robots

Bioinspired robots combine the best of both biology and engineering. Using tools learned from nature, we can build squid-like and other squishy robots to improve current capabilities in...

Control Bootcamp: Kalman Filter Example in Matlab

This lecture explores the Kalman Filter in Matlab on an inverted pendulum on a cart.

Understanding Closed-Loop Control

This lecture discusses the differences between open loop and closed loop control in a very easy and intuitive way. Daily examples, like a dishwasher, plant irrigation, and car speed systems...

Understanding Control Systems: The Disturbance Rejection Problem

This video provides a demonstration using a car to show how you can simulate open- and closed-loop systems in Simulink®.

First, you will learn how to model and tune open-loop systems. The...

A real control system - how to start designing

Let’s design a control system the way you might approach it in a real situation rather than an academic one. In this video, I step through a control problem and show how control theory is...

Understanding Control Systems: Components of a Feedback Control System

This video introduces the components of a feedback control system and how they interact with each other.  

Learn basic terminology by walking through examples that include driving a car...

Quanser QUBE-Servo 2: Low-cost Teaching Platform for Controls

The Quanser QUBE-Servo 2 is a fully integrated, modular servomotor lab experiment designed for teaching mechatronics and control concepts at the undergraduate level. Ideal for teaching speed...

TCLab: 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...

Improve SNR and Capacity of Wireless Communication Using Antenna Arrays

The goal of a wireless communication system is to serve as many users with the highest possible data rate given constraints such as radiation power limit and operating budget. To improve the...

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: Observability Example in Matlab

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

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.

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...

Introduction to the A* Algorithm

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

What Is a Control System and Why Should I Care?

This is a 25 minute abbreviated version of the Part 1 & Part 2 talk.  It goes through the basic ideas while skipping some of the details and examples of the longer talks.   The talk abstract...

Projectile Motion Equations and Theory

In this video, an important topic under 2D Kinematics i.e. Projectile Motion, is covered. Its theory, equations, and examples are thoroughly discussed.

Massive MIMO Hybrid Beamforming

This MATLAB example shows how hybrid beamforming is employed at the transmit end of a massive MIMO communications system, using techniques for both multi-user and single-user systems. The...

DSP Related

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

Control 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...