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...

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...

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...

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...

Bumpless Transfer and Tuning

Switching from MAN to AUTO mode or LOCAL to CASCADE or changing the controller integral time should not cause a change in the controller output, a bump.  But a primitive coding of the PID...

Android and iPhone E-Learning App for Nyquist Stability Criterion

In our Nyquist App, you can analyze the stability of the closed loop by using the Nyquist stability criterion. With the Nyquist stability criterion, you can determine the stability of the...

A Statistical Noise Filter

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

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...

Online Fault Detection for a DC Motor

Program embedded processors to estimate parameters and detect changes in motor dynamics in real time using System Identification Toolbox™.

A Tutorial on PES Pareto Methods for Analysis of Noise Propagation in Feedba...

This is the recorded talk of the paper by the same title.

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...

Python Control Systems Library

The python-control package is a set of python classes and functions that implement common operations for the analysis and design of feedback control systems. The initial goal is to implement...

Interpreting Lines on PFDs and P&IDs

Lines on a process flow diagram (PFD) indicate material flow.  In contrast, on a piping and instrument diagram (P&ID), the control overlay for the PFD, the lines represent information flow. ...

Cascade Control 2

An Implementation Recipe for Cascade Control

Discrete-Time Fourier Transform MATLAB App

This is the app that Brian Douglas created for his MATLAB Tech Talk video on the Z-transform.

Full Stack Deep Learning

There are many great courses to learn how to train deep neural networks. However, training the model is just one part of shipping a deep learning project. This course teaches full-stack...

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...

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...

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...

Ratio Control - the right and wrong approach

A discussion as to why the ratio should be the MV (controller output) not the CV.

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.

Automotive Adaptive Cruise Control Using FMCW Technology

This MATLAB example shows how to model an automotive adaptive cruise control system using the frequency modulated continuous wave (FMCW) technique. This example performs range and Doppler...

Control Loop Foundation Batch and Continuous Processes - Interactive Source ...

Control Loop Foundation contains workshops that allow the reader to get hands on experience through this web interface. Once a lab is selected, then you may access workshop directions and...

Dealing with Non-Stationarity in Multi-Agent Deep Reinforcement Learning

From the abstract

Recent developments in deep reinforcement learning are concerned with creating decision-making agents which can perform well in various complex domains. A particular...

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...