FOPDT Models from Skyline Inputs

The classic textbook method to generate FOPDT models is the reaction curve technique, a pre-computer era technique:  Start from a steady state, make a step and hold in the controller output...

Robust Control, Part 3: Disk Margins for MIMO Systems

This video shows how margin can be used to assess the robustness of multi-input, multi-output systems. We’ll show how disk margin is a more complete way to represent margin for MIMO systems...

MATLAB Command: lqr

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

Real-Time Software Implementation of Analog Filters

Modelling analog filters, discretisation, and implementation of the digitally-equivalent filters on a real-time, embedded system (STM32). Includes theory, DSP, firmware, and results.

So You Want to be a Systems Engineer

A presentation by Gentry Lee on what qualities and characteristics make a great systems engineer. At the time of the presentation, Gentry Lee was the Chief Engineer for the Solar System...

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...

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...

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...

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...

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...

Robotarium by Georgia Tech

The Robotarium project provides a remotely accessible swarm robotics research platform that remains freely accessible to anyone. Currently, Robotics research requires significant investments...

A simple MEMS gyro model using MATLAB / Simulink

This video walks through how to model a simple MEMS gyroscope using MATLAB/Simulink. At the end I show you how to linearize this model to use in your linear control loop design and analysis.

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...

MATLAB function: phased.LCMVBeamformer

The phased.LCMVBeamformer object implements a narrowband linear-constraint minimum-variance (LCMV) beamformer for a sensor array. The LCMV beamformer belongs to the family of constrained...

Cascade Control 2

An Implementation Recipe for Cascade Control

Understanding Control Systems (Playlist)

Learn the basic concepts behind controls systems. Walk through everyday examples that outline fundamental ideas, and explore open-loop and feedback control systems. These videos explore open...

Output Characterization to Linearize a Loop - Control valve application

This application paper explains how a control valve created nonlinearity in a loop and how output characterization solved the problem

Override and Reset Feedback

Override controllers are for safety or switching to auxiliary variables.  The non-selected controller needs to prevent becoming wound up.

Robust Control, Part 4: Working with Parameter Uncertainty

The previous two videos showed a few different ways to quantify how robust a system is to model and plant uncertainty by looking at how much input and output variation it can handle before...

Control Design Onramp with Simulink

Learn the basics of feedback control design in Simulink®. Adjust the gains of a PID controller to change the dynamics of a physical system and get the closed-loop system behavior that you...

Model Reference Adaptive Control Part-1

Video course on nonlinear and adaptive control by Dr. Shubhendu Bhasin, Department of Electrical Engineering, IIT Delhi.

Control Systems in Practice, Part 1: What Control Systems Engineers Do

This video walks through the phases of a typical project and describes what it means to be a control systems engineer. It covers the concept formulation phase, in which your job is to help...

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...

Data based modeling of nonlinear dynamic systems using System Identification...

Using an engine throttle valve modeling example, this demo shares some perspectives on creation of nonlinear models of dynamic systems from the measurements of its input and outputs. 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...