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...

Autonomous Navigation, Part 3: Understanding SLAM Using Pose Graph Optimizat...

This video provides some intuition around Pose Graph Optimization—a popular framework for solving the simultaneous localization and mapping (SLAM) problem in autonomous navigation.

We’ll...

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...

Data-Driven Control: Linear System Identification

Overview lecture on linear system identification and model reduction. This lecture discusses how we obtain reduced-order models from data that optimally capture input--output dynamics.

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/

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.

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...

Control Bootcamp: Limitations on Robustness

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

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...

Introduction to Hybrid Beamforming

This MATLAB example introduces the basic concept of hybrid beamforming and shows how to simulate such a system.

Vectors, Dot Products, Cross Products - 3D Kinematics

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...

Understanding the Discrete Fourier Transform and the FFT

The discrete Fourier transform (DFT) transforms discrete time-domain signals into the frequency domain. The most efficient way to compute the DFT is using a fast Fourier transform (FFT)...

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...

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...

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...

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.

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...

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...

Process Control is Inventory Control

You change the inventory of heat to change temperature.  You change the inventory of material to change level.  Understanding how the inventory relates to the controlled variable is...

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...

OIT System Design Laboratory (Japanese)

A collection of video lectures from OIT SDL.

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.

Robotic Car - A Simple Way to Build a Model

You don't always have to work out the math in order to build up a model of your system. Sometimes generating a model is as easy as running a simple test and inspecting the results. I show...