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 ...
Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
Abstract: This work presents the design and implementation of a data-driven Nonlinear Model Predictive Control (NMPC) framework for an Uncrewed Aerial Vehicle (UAV) equipped with a 3-DOF robotic arm.
IEEE Spectrum on MSN
Can AI find physics beyond the standard model?
AI is searching particle colliders for the unexpected ...
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 ...
Safety Leadership and Safety Performance: An integrative Model for Ghanaian Construction Industry ()
Safety Leadership, Worker Behaviour, Safety Performance, Integrative Model, Ghanaian Construction Industry Share and Cite: ...
Please be aware that this is a beta release. Beta means that the product may not be functionally or feature complete. At this early phase the product is not yet expected to fully meet the quality, ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results