
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...
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 MoreAdaptive Control (Part II) —Modeling the X-15’s Adaptive Flight Control Syst...
This blog post shows how to build from scratch a Simulink model of the famous MH-96, the X-15's Adaptive Flight Control System
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 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 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 MoreFeedforward Control
When and how to use Feedforward Control
See MoreWhat are Polynomial Models?
This Mathworks page provides an overview of polynomial models.
See MoreWind 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...
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 MoreOutput 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
See MoreBenchmarking tools for a priori identifiability analysis
Recent review and benchmark of software tools that can be used for assess the structural identifiability of dynamical systems
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...
See MoreAdaptive 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.
See MoreMultibeam Radar for Adaptive Search and Track
This MATLAB example shows how to use radarDataGenerator for a closed-loop simulation of a multifunction phased array radar (MPAR). The example starts by defining MPAR system parameters and...
See MoreToys for Control Education
Teaching materials for control engineering education that run in web browsers. Speed control, position control, step response of 2nd order system, pole and impulse response, and rocket.
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