Abstract: Model predictive control (MPC) is a promising alternative in building control with the potential to improve energy efficiency and comfort and to enable demand response capabilities. Creating ...

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 ...

Machine learning is a vital tool in advancing drug development by accurately predicting the physical, chemical, and biological properties of various compounds. This study utilizes MATLAB program-based ...

Abstract: In this paper we introduce MATMPC, an open source software built in MATLAB for nonlinear model predictive control (NMPC). It is designed to facilitate modelling, controller design and ...

Heat transfer, encompassing conduction, convection, and radiation, is a fundamental physical process critical to engineering, environmental science, and materials development. Modeling heat transfer ...

AI Magazine takes a look at the top 10 predictive analytics technologies to help you find ways to strategise in this fast-paced world In our fast paced world that is subject to constant change through ...

This repository contains the MATLAB code that accompanies the research paper: Leeman, Antoine P and Kohler, Johannes and Messerer, Florian and Lahr, Amon and Diehl, Moritz and Zeilinger, Melanie N ...

Spontaneous thought provides valuable insights into our internal states and context, but assessing its contents and dynamics is challenging due to its unconstrained nature. We addressed this challenge ...

This paper presents a novel visual-admittance-based model predictive control scheme to cope with the problem of vision/force control and several constraints of a nuclear collaborative robotic visual ...