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

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

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

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 introduces a tube-based Model Predictive Control (MPC) formulation for high-order uncertain Linear Parameter-Varying (LPV) systems, utilizing efficient set representations.

Abstract: Articulated vehicles play a critical role in the transportation industry, but the rise in truck-related accidents necessitates effective solutions. Autonomous driving presents a promising ...

This work develops a framework for building machine learning models and machine-learning-based predictive control schemes for batch crystallization processes. We consider a seeded fesoterodine ...

Humans and animals learn the internal model of bodies and environments from their experience and stabilize posture against disturbances based on the predicted future states according to the internal ...

In this paper, we design a robust model predictive control (MPC) controller for vehicle subjected to bounded model uncertainties, norm-bounded external disturbances and bounded time-varying delay. A ...