Two-dimensional (2D) perovskites are increasingly recognized as promising candidate materials for the next generation of ...

Spanish control systems specialist Sunner has launched True Wind, a predictive monitoring system that detects wind-induced ...

Large language models (LLMs) are rapidly being integrated into clinical workflows, supporting tasks such as diagnosis ...

Abstract: This paper proposes a novel tube-based geometric model predictive control (GMPC) framework on Lie groups for robust and real-time trajectory tracking control of robot manipulators under ...

The current microgrids are experiencing growing difficulties in voltage stability and operational capacity, particularly with constant power loads (CPLs), leading to negative impedance behavior and ...

This repository implements and compares multiple Data-Enabled Predictive Control (DeePC) methods for controlling a Van der Pol oscillator, with a novel Tube DEEPC approach that enhances robustness and ...

Automation aims to standardize industrial operations and bring overall efficiency to today’s production lines. Such gains, however, may come with considerable effort, as engineering teams must ...