
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...
See MoreInterpreting 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. ...
See MoreCascade Control 2
An Implementation Recipe for Cascade Control
See MoreFast 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...
See MoreA Statistical Noise Filter
A noise filter that uses Statistical Process Control (SPC) techniques to temper tampering
See MoreFull 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...
See MoreAveraging 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...
See MoreRobotarium 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...
See MoreMATLAB 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...
See MoreRatio Control - the right and wrong approach
A discussion as to why the ratio should be the MV (controller output) not the CV.
See MoreDiscrete-Time Fourier Transform MATLAB App
This is the app that Brian Douglas created for his MATLAB Tech Talk video on the Z-transform.
See MoreReal-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.
See MoreAutomotive 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...
See MoreControl 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...
See MoreDealing 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...
See MoreSystem 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...
See MoreNo! Not Laplace Transforms
In my 13-year industrial career, I never used Laplace transforms. However, transfer functions and block diagram notation are efficient methods to describe dynamic behaviors, and are often...
See MoreScaled Transmission Signals, Engineering Units, and Conversions
Information is transmitted in scaled signals (4-20 mA, 3-15 psig, 0-100%, digital counts), which are also deviations from some reference vales (such as psi gage is to psia). But process...
See MoreAdvanced process control (APC): Theory & Applications in SAGD
This webinar is presented by Thiago Avila and covers what APC is, why we do it, examples of APC in the SAGD industry, what optimization opportunities are available, and where this technology...
See MoreWhat are Polynomial Models?
This Mathworks page provides an overview of polynomial models.
See MoreFOPDT 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...
See MoreFeedforward Control
When and how to use Feedforward Control
See MoreMATLAB Command: goodnessOfFit
Goodness of fit between test and reference data for analysis and validation of identified models
See MoreYann LeCun’s Deep Learning Course at CDS
This course concerns the latest techniques in deep learning and representation learning, focusing on supervised and unsupervised deep learning, embedding methods, metric learning...
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