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

BP Neural Network and Nonlinear Regression Model Based Wind Direction Prediction for the Wind Turbine Yaw System

Wind energy is a crucial renewable resource, with wind power plants (WPP) playing a significant role in global energy transition. The increasing demand for wind power generation necessitates efficient ...
Scientific Research Publishing

Wang, Y., Feng, L., Sui, X., Chu, J., & Mu, L. (2020). Nonlinear Regression Models for Agricultural Price Forecasting: A Comparative Study. Agricultural Systems, 180, 102-115.

ABSTRACT: This paper applies the novel adaptive learning methodology to forecast agricultural and energy prices in Greece’s volatile, data-scarce markets. We combine traditional ordinary least squares ...
GitHub

Nonlinear Regression: Estimating Hand-to-Camera Distance

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 ...
Electronic Design

Modeling on Mondays: Nonlinear SPICE Models of Vacuum-Tube Triodes (Part 3)

Given appropriate models for vacuum tubes, circuit simulators such as SPICE make analysis based on such nonlinear models a tractable effort. The Langmuir, Leach, and Koren models are discussed for the ...
Scientific Research Publishing

Kim, M. and Lee, S. (2016) Nonlinear Expectile Regression with Application to Value-at-Risk and Expected Shortfall Estimation. Computational Statistics & Data Analysis, 94, 1-19.

ABSTRACT: There is a substantial body of empirical research that has found the fund return distributions to exhibit pronounced peakiness, heavy tails, and skewness, deviating from a normal ...
C&EN

Evaluating the Suitability of Linear and Nonlinear Regression Approaches for the Langmuir Adsorption Model as Applied toward Biomass-Based Adsorbents: Testing Residuals and ...

Department of Chemical Engineering, University of Louisiana, Lafayette, Louisiana 70504, United States Energy Institute of Louisiana, University of Louisiana, Lafayette, Louisiana 70504, United States ...
Business Wire

New MathWorks Hardware Support Package Automates Code Generation From MATLAB and Simulink Models to Qualcomm Hexagon Neural Processing Unit Architecture

NATICK, Mass.--(BUSINESS WIRE)--MathWorks, the leading developer of mathematical computing software, today announced the availability of a hardware support package for the Qualcomm® Hexagon™ Neural ...