Researchers develop a new predictive model for designing 2D perovskites

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

Blame the model, not the machine—better data helps 3D-printed metamaterials match predictions

Additive manufacturing, such as 3D printing, provides an excellent opportunity to design metamaterials: materials with an ...
Psychology Today

Attachment as Prediction, Development, and Mind Building

A new active-inference account reframes attachment styles as calibrated models of the world—with consequences for how we ...
pv magazine International

Sunner unveils predictive technology to detect tracker galloping in real time

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

Deception in clinical large language models: an under-recognised safety risk

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

Tube-Based Geometric Model Predictive Tracking Control for Robot Manipulators in Task Space With Disturbances

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 ...
Scientific Research Publishing

Hybrid Deep Reinforcement Learning and Model Predictive Control for Microgrids ()

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 ...
GitHub

Tube DEEPC: Robust Data-Enabled Predictive Control with Tube-Based Constraints

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 ...