Abstract: The nonlinear flux observer is an effective position sensorless method that has been proven in practice. For the interior permanent magnet synchronous motor (IPMSM), this article establishes ...

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 ...

Conventional nanoscale electroplasmonic structures provide limited electrical tunability of nonlinear optical responses. Scientists at Japan's Institute for Molecular Science have demonstrated an ...

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. This voice experience is generated by AI. Learn more. This ...

A new technical paper titled “Massively parallel and universal approximation of nonlinear functions using diffractive processors” was published by researchers at UCLA. “Nonlinear computation is ...

This project implements a quadratic nonlinear regression model to estimate the real-world distance between a hand and a camera based on the relative positions of hand landmarks in 2D images. The ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is the simplest machine learning technique to predict a single numeric value, ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector regression (linear SVR) technique, where the goal is to predict a single numeric ...

Abstract: Adaptive filtering algorithms play a crucial role in consumer electronic field. However, when faced with nonlinear scenarios involving censored measurement data, traditional algorithms often ...

ABSTRACT: Function-on-scalar regression is a type of function response regression used to analyze the relationship between function response and a set of scalar predictor factors. The variable ...