IEEE

Model-Free Predictive Control Based on Recursive Least Square and Quadratic Interpolation Methods Applied to Power-Hardware-in-The-Loop Simulation

Abstract: Power-hardware-in-the-loop (PHIL) is a form of real-time simulation that allows a real power device to interact with a simulated power system. In PHIL simulation, the power equipment under ...
IEEE

An Intelligent Control Model Based on Digital Twin Technology and Optimized Least-Squares Support Vector Regression for Predicting Electromagnetic Brake Assembly Quality

Abstract: Electromagnetic (EM) brakes are widely applied in many automation and control fields. Assembly quality defects in EM brakes can significantly reduce braking performance and pose potential ...
Hosted on MSN

Web-based VPython: Performing a least squares fit

Learn how to perform a least squares fit using Web-Based VPython! 🐍📊 This tutorial walks you step by step through data fitting, plotting, and analyzing results with VPython in a web environment.
GitHub

Python API for the General Lake Model (GLM).

GLM is a 1-dimensional lake water balance and stratification model. It can also be coupled with the AED modelling library to support simulations of lake water quality and ecosystem processes. GLM is ...
GitHub

GitHub - SakanaAI/evolutionary-model-merge: Official repository of Evolutionary Optimization of Model Merging Recipes

This repository serves as a central hub for SakanaAI's Evolutionary Model Merge series, showcasing its releases and resources. It includes models and code for reproducing the evaluation presented in ...