CNX Software

Arduino Matter Discovery Bundle educational kit combines Arduino Nano Matter with three Modulino modules

Arduino has just announced the Arduino Matter Discovery Bundle (AKX00081), an all-in-one development kit designed to help ...
IEEE

Deep Learning-Based Approximation of Model Predictive Control Laws Using Mixture Networks

Abstract: In recent years, researchers have proposed the approximation of model predictive control (MPC) using deep neural networks (DNNs). However, a limitation arises as DNNs inherently offer one-to ...
San Diego Union-Tribune

Settlement reached to control ‘nurdles’ released along San Diego railroad

BNSF Railway, the Coastal Environmental Rights Foundation, San Diego Coastkeeper, and North County Transit District announced Thursday they have settled allegations related to spillage during the ...
GitHub

Nonlinear Model-Predictive Control Using Koopman Operator

This document provides a detailed explanation of the MATLAB code that demonstrates the application of the Koopman operator theory for controlling a nonlinear system using Model Predictive Control (MPC ...
IEEE

Model-Free Predictive Frequency Control Under Sensor and Actuator FDI Attacks

Abstract: This brief investigates the load frequency control (LFC) issue of an interconnected power system under sensor and actuator false data injection (FDI) attacks. To this end, a novel model-free ...
Ars Technica

Requesting your help with electronics and Arduino for my model railroad.

I'm trying to get block detection working on my HO scale model railroad. I found this page and liked the idea of using current transformers to detect the Digital Command Control signal inducing ...