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...

Respect the Unstable

An understanding of fundamental limitations is an essential element in all engineering. Shannon's early results on channel capacity have always had center court in signal processing...

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)

Nonlinear System Identification | System Identification, Part 3

Learn about nonlinear system identification by walking through one of the many possible model options: A nonlinear ARX model. Brian Douglas covers the importance of adding an offset term to...

Wind Tunnel Testing: Introduction and Data Acquisition

This is the first of our 3 part series on wind tunnel testing. In this video, we introduce the concept of wind tunnel testing as well as discuss the process for acquiring aerodynamic data in...

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...

The Demod Squad: A Tutorial on the Utility and Methodologies for Using Modul...

This paper is a brief tutorial on methods for using modulated signals in feedback loops, and especially of the different methods and trade offs used for demodulating those signals to get...

The Kalman Filter [Control Bootcamp]

Here, we discuss the Kalman Filter, which is an optimal full-state estimator, given Gaussian white noise disturbances and measurement noise.

Why is a Chirp Signal used in Radar?

Gives an intuitive explanation of why the Chirp signal is a good compromise between an impulse waveform and a sinusoidal pulse waveform for radar.

Interactive Course for Control Theory

Control Theory is a topic that finds a widespread application throughout engineering and natural sciences. It is very common in electrical, mechanical and process engineering. Especially...

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...

What Is Online Estimation?

This Mathworks document describes online estimation. Online estimation algorithms estimate the parameters and states of a model when new data is available during the operation of the...

Lectures on Modelling and Control of Dynamic Systems (French)

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

1D Kinematics - Speed, Velocity, Acceleration

Walter Lewin is one of the most reputed professors and was a former lecturer at MIT. His free to watch series on YouTube titled 8.01 is an excellent one for undergrads and high school...

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...

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...

Multi-agent reinforcement learning: An overview

From the abstract:

Multi-agent systems can be used to address problems in a variety of do- mains, including robotics, distributed control, telecommunications, and economics. The complexity...

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...

How are Beamforming and Precoding Related?

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

Feedback Systems: An Introduction for Scientists and Engineers

This is the wiki for the text Feedback Systems (second edition) by Karl J. Åström and Richard M. Murray. On this resource you will find the complete text of the book as well as additional...

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.

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...

Gain a better understanding of Root Locus Plots using Matlab

In this video I go through various ways to use Matlab to plot and visualize the root locus.

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...

Systems Engineering, Part 4: An Introduction to Requirements

Get an introduction to an important tool in systems engineering: requirements. You'll learn about the three things every requirement must have and what makes a requirement valid. You'll also...