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 ...

An international research team has tested a hybrid control technique combining adapted perturb and observe (APO) with model-predictive control to address complex partial shading in solar arrays. The ...

The air conditioner compressor motor driver as shown in Fig.1 utilizes advanced model-free predictive control technology, ensuring efficient and stable operation under varying load conditions.

The development of predictive models for Hodgkin lymphoma is advancing with a focus on simplicity, objectivity, and broad applicability. According to Andrew Evens, DO, MBA, MSc, deputy director for ...

A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. In this research work authors have experimentally validated a blend of Machine ...

Abstract: Controlling boiler–turbine systems (BTS) is challenging due to their complex nonlinearity and dynamic nature. To address these issues, we propose a novel dual event-triggered fuzzy model ...

Center for Energy Informatics, The Maersk Mc-Kinney Moller Institute, University of Southern Denmark, Odense, Denmark Building systems are dynamic and non-linear. In HVAC systems, independently ...