System Identification: Sparse Nonlinear Models with Control

This lecture explores an extension of the sparse identification of nonlinear dynamics (SINDy) algorithm to include inputs and control. The resulting SINDY with control (SINDYc) can be used...

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...

Inverted Pendulum on a Cart [Control Bootcamp]

In this video, we introduce an example system to control: an inverted pendulum on a cart. We describe the state-space, find the fixed points, and simulate the system in Matlab. Because the...

Singular Value Decomposition (SVD): Overview

This video presents an overview of the singular value decomposition (SVD), which is one of the most widely used algorithms for data processing, reduced-order modeling, and high-dimensional...

What Is a Control System and Why Should I Care? (Part 1)

This video is the first of a two part series.  It in introduces the basic concepts of feedback with lots of visual examples.  The idea is to show that not only are these principles...

What are Transfer Functions? | Control Systems in Practice

This video introduces transfer functions - a compact way of representing the relationship between the input into a system and its output. It covers why transfer functions are so popular and...

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...

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...

Model Identification and Adaptive Control - From Windsurfing to Telecommunic...

This book is based on a workshop entitled: "Model Identification and Adap­tive Control: From Windsurfing to Telecommunications" held in Sydney, Aus­tralia, on December 16, 2000. The workshop...

Intro to Data Science: Historical Context

This lecture provides some historical context for data science and data-intensive scientific inquiry.

Autonomous Navigation, Part 5: What Is Extended Object Tracking?

In many practical scenarios, there are other objects that may need to be observed and tracked in order to effectively navigate within an environment. This video will show extended object...

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...

What are Phased Arrays?

This video introduces the concept of phased arrays. An array refers to multiple sensors, arranged in some configuration, that act together to produce a desired sensor pattern. With a phased...

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...

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...

Control Bootcamp: Observability Example in Matlab

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

The Linear Quadratic Regulator

In these notes, we will derive the solution to the finite-horizon linear quadratic regulator (LQR) problem in several different ways. Fundamentally, LQR can be viewed as a large least...

Introduction to Classic Control Theory (Japanese)

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

Introduction to Radar Systems: Target Radar Cross Section

This course is presented by Robert M. O'Donnell, a former researcher at MIT Lincoln Laboratory, and is designed to instill a basic working knowledge of radar systems.

The set of 10 lectures...

Data-Driven Control: Overview

Overview lecture for series on data-driven control. In this lecture, we discuss how machine learning optimization can be used to discover models and effective controllers directly from data...

Understanding Sensor Fusion and Tracking, Part 6: What Is Track-Level Fusion...

Gain insights into track-level fusion, the types of tracking situations that require it, and some of the challenges associated with it.

You’ll see two different tracking architectures—track...

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.

Machine Learning Control: Overview

This lecture provides an overview of how to use machine learning optimization directly to design control laws, without the need for a model of the dynamics.

Fast chirp FMCW Radar in automotive applications

FMCW (frequency-modulated continuous wave radar) modulations have been popularly implemented in the automotive radar applications. This document demonstrates system requirement for a new...

PID Explained

A qualitative explanation of P, I, & D actions using graphs.