That’s the aim of predictive cyber resilience (PCR)—an emerging approach to security built on intelligence, automation and ...

As AI is embedded inside systems, teams must design APIs with governance, observability and scalability in mind.

The journey towards autonomous operations involves incremental steps, each bringing businesses closer to a state where systems can independently manage and optimize processes, ensuring sustained ...

Lyophilization model can help optimize freeze-drying steps for continuous manufacturing processes, according to MIT researchers.

Telcos have access to huge amounts of data, which represents a big opportunity when it comes to AI. But how should they ...

As organizations modernize industrial systems, high-integrity functional safety strategies are now critical for reducing risk and ensuring compliance. This report delivers actionable insight into the ...

It’s not very common that a robot the size of a paper clip is able to do ten flips in eleven seconds and keep on course ...

New programs cannot turn out the numbers needed to make up for the controller shortfall. But they hope to have a higher success rate than the Federal Aviation Agency’s official academy. New programs ...

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 ...

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 ...

UC Santa Barbara professor James B. Rawlings has been named the 2025 recipient of the Richard E. Bellman Control Heritage Award, the nation’s top recognition for career contributions to automatic ...