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 ...

The area under the curve values for the symptom prediction model ranged from 0.58 for the UCLA Loneliness Scale to 0.71 for the Patient Health Questionnaire-9. Engagement with the scheduled app ...

Abstract: This article presents a hybrid model predictive controller to ensure dc microgrid stability and enhance the performance of dc-dc boost converters interfaced with constant power loads (CPLs) ...

If human sensorimotor intelligence can be recovered as a learned model, systems can be trained that map perception into ...

Abstract: Model predictive controllers use dynamics models to solve constrained optimal control problems. However, computational requirements for real-time control have limited their use to systems ...

Quantum computers, systems that process information leveraging quantum mechanical effects, have the potential of outperforming classical computers on some tasks. Despite their potential, the use of ...

The goal of this repository is to implement the path tracking algorithm of mobile robot using the Nonlinear Model Predictive Control(NMPC), one of the optimal controllers. The NMPC can provide the ...

The billion-dollar prediction markets industry began like a joke: Three economists walked into a bar. Limited time: Save 25% on NBC News subscription Get exclusive reporting, live Q&As and ad-free ...

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 ...