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 ...
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 ...
electronicsforu

Raspberry Pi Object Tracking Camera using MediaPipe

In this project, we build a real-time object-tracking camera using Raspberry Pi and MediaPipe. The camera detects a selected object, calculates its position in the video frame, and automatically moves ...