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...

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...

DSP Lecture 1: Signals

This is a video lecture for ECSE-4530 Digital Signal Processing by Rich Radke, Rensselaer Polytechnic Institute.

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...

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

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.

Introduction to the A* Algorithm

An interactive visual explanation of the A* algorithm using motivating examples from computer games.

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...

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...

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...

Quanser QUBE-Servo 2: Low-cost Teaching Platform for Controls

The Quanser QUBE-Servo 2 is a fully integrated, modular servomotor lab experiment designed for teaching mechatronics and control concepts at the undergraduate level. Ideal for teaching speed...

Solving Systems of Equations Using the Optimization Penalty Method

In this video we show how to solve a system of equations using numerical optimization instead of analytically solving. We show that this can be applied to e...

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...

System Identification: DMD Control Example

This lecture gives a Matlab example of dynamic mode decomposition with control (DMDc) for full-state system identification.

First Order Plus Dead Time Tuning App for PI Controllers

The FOPTD_PI Tool is a Matlab-Interactive tuning tool of PI controllers for First Order PlusTime Delay processes. It can be used to teach basic control concepts based on a set of PI tuning...

Model-Based Reinforcement Learning: Theory and Practice

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

Projectile Motion Practice Problems

In this video, practice along questions on an important topic of Kinematics i.e Projectile Motion. Practicing would help you remember the concepts and also understand them better.

Extremum Seeking Control Applications

This lecture highlights some of the many applications of extremum-seeking control (ESC) performed by Steve Brunton and collaborators.

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...

Model Reference Adaptive Control of Satellite Spin

This example shows how to control satellite spin using model reference adaptive control (MRAC) to make the unknown controlled system match an ideal reference model. The satellite system is...

Wind Tunnel Data Analysis and Testing Considerations

This is the last video in our 3 part series on wind tunnel testing. In this video, we discuss what typical plots of wind tunnel data might look like and how to extract relevant information...