Understanding the Z-Transform

This intuitive introduction shows the mathematics behind the Z-transform and compares it to its similar cousin, the discrete-time Fourier transform. Mathematically, the Z-transform is...

Linear Regression

Linear regression is a cornerstone of data-driven modeling; here we show how the SVD can be used for linear regression.

Various games for learning Controller Design

Since 2005, we are using educational games in the course „Einführung in die Regelungstechnik“ (Introduction to automatic control). 

The project started with the game spaceballRT, which uses...

Block Diagram Algebra

In this video we introduce block diagrams (AKA signal flow diagrams). We explore how they are used to describe complex systems as well as how to perform blo...

Control Systems in Practice, Part 8: The Gang of Six in Control Theory

When analyzing feedback systems, we can get caught up thinking solely about the relationship between the reference signal and the output. However, to fully understand how a feedback system...

MIMO Radar: TI Application Report

MIMO radar is a key technology in improving the angle resolution (spatial resolution) of mmwave-radars. This article introduces the basic principles of the MIMO-radar and the different...

Model Reference Adaptive Control of Aircraft Undergoing Wing Rock

This example shows how to control roll and roll rate of a delta wing aircraft undergoing wing rock. For this example, the system model is unknown. Therefore, you use model reference adaptive...

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.

Advances in Feedforward Control for Measurable Disturbances (slides)

These slides present several contributions to improve the feedforward control approaches when inversion problem arise:  the ideal compensator may not be realizable due to negative delay...

Understanding Control Systems: Open-Loop Control Systems

This video explores open-loop control systems by walking through some introductory examples.

Learn how open-loop systems are found in everyday appliances like toasters or showers, and...

Virtual Labs for control education

This resource provides different links to virtual and remote labs that can be used for control education. Virtual and remote labs are very powerful tools for learning and teaching, that...

Radar Systems Engineering MATLAB Documentation and Examples

The functions in this section give you the MATLAB tools needed to evaluate the performance of a radar system. You can use the radar equation to evaluate the radar received signal-to-noise...

RADAR Engineering

Radar technology is used widely today. The principles involved are very fundamental and every engineering student studies them at least once. This playlist covers Radar Engineering for an EE...

A Tutorial on PES Pareto Methods for Analysis of Noise Propagation in Feedba...

This paper represents a tutorial on the so called PES Pareto methodology of analyzing the sources of noise in a feedback loop. Originally conceived for analyzing noise contributors in...

Creating Discrete-Time Models

This MATLAB example shows how to create discrete-time linear models using the tf, zpk, ss, and frd commands.

What Is Extremum Seeking Control? | Learning-Based Control

Get an introduction to extremum seeking control—an adaptive control method for finding an optimal control input or set of system parameters without needing a model of your system, static...

What is Residual Analysis?

Residuals are differences between the one-step-predicted output from the model and the measured output from the validation data set. Thus, residuals represent the portion of the validation...

Why the Riccati Equation Is important for LQR Control

This Tech Talk looks at an optimal controller called linear quadratic regulator, or LQR, and shows why the Riccati equation plays such an important role in solving it efficiently. The talk...

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.
 

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...

Nonlinear 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...

Matlab: The Radar Equation

This Mathworks page explains the parameters of the radar range equation. The point target radar range equation estimates the power at the input to the receiver for a target of a given radar...

Model-Based Reinforcement Learning: Theory and Practice

Blog post by Michael Janner of Berkeley Artificial Intelligence Research on model-based reinforcement learning.

Control Bootcamp: Limitations on Robustness

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

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...