Abstract: This paper presents a novel approach to practical nonlinear model predictive control (PNMPC) using Kolmogorov–Arnold networks (KANs) as prediction models. KANs are based on the ...

Abstract: Model predictive control (MPC) achieves stability and constraint satisfaction for general nonlinear systems but requires computationally expensive online optimization. This brief studies ...

A predictive space weather model designed to simulate how solar storms affect Earth has been publicly released for researchers in the broader scientific community — as well as the general public — to ...

Escola de Química, EPQB, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Rio de Janeiro 21941-909, Brazil Programa de Engenharia Química, PEQ/COPPE, Universidade Federal do Rio de Janeiro, Rio ...

In 2024, Microsoft introduced small language models (SLMs) to customers, starting with the release of Phi (opens in new tab) models on Microsoft Foundry (opens in new tab), as well as deploying Phi ...

A new AI model called popEVE can predict how likely each variant in a patient’s genome is to cause disease. The team is testing popEVE in clinical settings to see if it can speed accurate diagnoses of ...

(A) 3D model of the manipulator structure, consisting of 3 continuum segments. The manipulator operates in the plane. (B) Close-up view of the revolute joint between adjacent disks. (C) Diagram ...

An increase in the initial compression modulus and the slope n of the compression curve will reduce the fluctuation amplitude of the soil consolidation settlement curve and slow down the development ...

State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, Fudan University, Shanghai 200433, China ...

The global energy sector is undergoing a transformation, with the electric grid expanding to accommodate an increasing number of assets, including solar arrays, wind farms, batteries, electric ...