Control engineering plays a pivotal role in understanding and designing systems ranging from biological feedback loops to ...
Researchers from Skoltech, MEPhI, and the Dukhov All-Russian Research Institute of Automation have proposed a new method to ...
Researchers have developed a new algorithmic model that can improve predictions of cooling demand for greener buildings. This ...
Objective In Indonesia, the second most natural disaster-prone country in the world, the tobacco industry exploits such crises via corporate social responsibility. The objective of this study was to ...
1 Institute of Marine Science and Technology, Shandong University, Qingdao, Shandong, China 2 School of Mechanical Engineering, Key Laboratory of High-Efficiency and Clean Mechanical Manufacture of ...
In a recent article published in the journal Light: Science & Applications, researchers explored a fundamental but often overlooked area of optical science: how spatial coherence can be controlled and ...
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 ...
Abstract: The paper is devoted to present a new original design method of nonaffine nonlinear control systems of general structure. The originality of the method lies in the application to a nonlinear ...
Abstract: This paper proposes a novel model predictive control design for Internet of Things (IoT) applications by using the generalized opposition-based learning particle swarm optimization algorithm ...
Faculty of Telecommunication, Engineering and Space Technology, Future University, Khartoum, Republic of the Sudan. The study aims to provide insights into the benefits and potential risks associated ...
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