Kalman and Bayesian Filters in Python

Introductory text for Kalman and Bayesian filters. All code is written in Python, and the book itself is written using Juptyer Notebook so that you can run and modify the code in your...

Radar Design with the Radar Designer App

The Radar Designer app is an interactive tool that assists engineers and system analysts with high-level design and assessment of radar systems at the early stage of radar development.

Why Do Radars Chirp? | Pulse Waveform Basics

This tech talk covers how different pulse waveforms affect radar and sonar performance. See the difference between a rectangular pulse and a linear frequency modulated pulse, as well as...

Why multichannel beamforming is useful for wireless communication

Wireless communication systems like 5G and WiFi usually have to serve many users simultaneously and they have to deal with multiple paths between two radios when operating in a scattering...

A Statistical Noise Filter

A noise filter that uses Statistical Process Control (SPC) techniques to temper tampering

Measurements, Transmission Signals, and Issues

This is an introduction to scaled information transmission signals (for example 4-20 mA, 3-15 psig, etc.), the actual sensed signals (like using orifice dP to infer flow rate, or temperature...

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...

What are Lead Lag Compensators? An Introduction.

This videos covers the very basic definition of what a lead/lag compensator is. Every control system engineer should have a basic understanding of lead/lag compensators since along with PID...

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...

System Identification: Regression Models

This lecture provides an overview of modern data-driven regression methods for linear and nonlinear system identification, based on the dynamic mode decomposition (DMD), Koopman theory, and...

Minami's Control School (Japanese)

教員のみなみゆうきです．専門は制御工学です．制御工学は「モノの動きをデザインする科学」です．制御工学を勉強したいという方に，僕の知識をすこしでも届けられると良いなと思い，YouTubeをやっています．

2019年の秋，講義ノートの作成の様子を撮影し，YouTubeに動画をアップロードしたのを契機として，動画作成をはじめました...

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...

Lectures on Modelling and Control of Dynamic Systems (French)

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

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...

MATLAB Example: Train Multiple Agents for Area Coverage

This example demonstrates a multi-agent collaborative-competitive task in which you train three proximal policy optimization (PPO) agents to explore all areas within a grid-world environment...

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...

Adaptive Control (Part I) — Hypersonics and the MIT Rule

This blog post introduces the algorithm that ruled the adaptive flight control system of the first manned hypersonic aircraft, the North American X-15.

Simultaneous Range and Speed Estimation Using MFSK Waveform

This MATLAB example compares triangle sweep frequency-modulated continuous (FMCW) and multiple frequency-shift keying (MFSK) waveforms used for simultaneous range and speed estimation for...

Time Series Anomaly Detection Using Deep Learning

This example shows how to detect anomalies in sequence or time series data.

To detect anomalies or anomalous regions in a collection of sequences or time series data, you can use an...

T-RECS System

The Transportable Rotorcraft Electronic Control System (T-RECS) is a collection of components that can be built into a rotorcraft demonstrator.  This hardware can be used as a test bed to...

Interactive Tool about control signal saturation (windup) with PID control

The purpose of this module is to give a familiarity with the phenomenon of integral windup and a method for avoiding it. The module shows process outputs and control signals for unlimited...

Averaging and Vibrational Control of Mechanical Systems

Abstract. This paper investigates averaging theory and oscillatory control for a large class of mechanical systems. A link between averaging and controllability theory is presented by...

Control Bootcamp: Observability Example in Matlab

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

Tuning PID Controllers

Tuning controllers is the procedure for choosing the coefficient values for the P, I and D modes.  It must be simple to execute, fast, and non-disruptive to the operating process.  Heuristic...

Cascade Control

What is Cascade Control and why use it?