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 ...
KKEY

32nd annual Bakersfield Model Railroad Show set for March 7-8

BAKERSFIELD, Calif. (KGET) — The Golden Empire Historical and Modeling Society of Bakersfield is inviting the community to attend its 32nd annual Bakersfield Model Railroad Show in March. The event is ...
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 ...
GitHub

Function calling using Amazon Bedrock with Anthropic Claude 3

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models from leading AI companies and a set of capabilities to build generative AI applications. This sample ...