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...

Cascade Control

What is Cascade Control and why use it?

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...

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...

Model-Based Reinforcement Learning: Theory and Practice

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

Control Bootcamp: Overview

Overview lecture for bootcamp on optimal and modern control. In this lecture, we discuss the various types of control and the benefits of closed-loop feedback control.

3D Kinematics, Free Falling, Reference Frames

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...

The Braitenberg Vehicles

This video explores the world of simple logical robots as described by Valentino Braitenberg in his book Vehicles, Experiments in Synthetic Psychology. With very simple linkages between...

Koopman Spectral Analysis (Continuous Spectrum)

In this video, we discuss how to use Koopman theory for dynamical systems with a continuous eigenvalue spectrum. These systems are quite common, such as a pendulum, where the period...

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...

Introduction to Hybrid Beamforming

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

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...

Orifice Calibration

The ISO method for orifice design and calibration is grounded in the ideal square-root relation between pressure drop and flow rate, specifies the in-pipe structure for an orifice, and...

MATLAB Command: lqr

MATLAB command documentation for the Linear-Quadratic Regulator (lqr) function.

First-Order Filters

Use data filters to temper noise - relation of options to lag and variance reduction

Intro to Data Science: Overview

This lecture provides an introductory overview to data science. I will discuss the high-level goals of this lecture series, and how data science is about asking and answering questions with...

Online Tuning using Simulink’s Closed-Loop PID Autotuner Block

Learn how to conduct an online tuning of a PI-speed controller using the MATLAB/Simulink Closed-Loop PID Autotuner Block. Tuned controller is validated on a Quanser QLabs Virtual QUBE-Servo...

What are Nonlinear ARX Models?

This Mathworks page provides an overview of Nonlinear ARX Models.Nonlinear ARX models extend the linear ARX models to the nonlinear case. The structure of these models enables you to model...

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...

Using Transfer Learning | Deep Learning for Engineers, Part 4

This video introduces the idea of transfer learning. Transfer learning is modifying an existing deep network architecture and then retraining it to accomplish your task rather than the task...

My Sole Advise to Data Scientists on Coursera & Quora

This blog post by Tarry Singh answers questions including "How do I get started in the field on Machine Learning, Deep Learning or Artificial Intelligence" and "How do I advance from the...

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...

Converting Constrained Optimization to Unconstrained Optimization Using the ...

In this video we show how to convert a constrained optimization problem into an approximately equivalent unconstrained optimization problem using the penalty...

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...

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...