In 2026, unified security platforms and AI-driven intelligence will continue to revolutionize campus safety by enabling ...
Centralized remote monitoring is reshaping power plant operations, enabling specialized teams to oversee multiple facilities ...
Abstract: The high performance of conventional model predictive control (CMPC) for electric drives depends on the fidelity of the machine’s parametric model. However, the parameters of the interior ...
How organizations make use of their data from the back office to the production line to improve performance, reduce risk and ...
Researchers from the University of Chinese Academy of Sciences and collaborating institutions have developed a novel ...
That’s the aim of predictive cyber resilience (PCR)—an emerging approach to security built on intelligence, automation and adaptability. It introduces a vision of self-defending systems capable of ...
Golfers play East Potomac's fifth hole as trucks unloads debris and soil from the demolition of the White House's East Wing on October 24. Tasos Katopodis / Getty Images Future control of Washington D ...
The University of Minnesota Emergency Medical Services (UMEMS) is offering more free CPR, AED and bleeding control courses on campus to enhance and ensure safety and well-being among the University ...
Abstract: Model predictive control (MPC) has attracted considerable interest for its ability to generate optimal control strategies, yet its application to nonlinear systems is often constrained by ...
Dr. Bin Tang, Founder & CEO of Noah Digital, is an internationally recognized AI & digital marketing leader & author of “Local to Global.” For years, digital marketing has been synonymous with ...
Background: Chronic obstructive pulmonary disease (COPD) is the third leading cause of death globally and a major public health issue in China. This study aims to develop a COPD predictive model 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 ...