IEEE

Experimental Evaluation of Trajectory Tracking With Nonlinear Model Predictive Control Enhanced by Physics-Informed Neural Network

Abstract: Nonlinear model predictive control (NMPC) algorithms have been widely used in autonomous vehicle trajectory tracking, yet their performance is primarily limited by the accuracy of the ...

Math can tell you how to manage your eczema

Anyone with a chronic illness understands the struggle of living with a disease that is deeply unpredictable. Many such illnesses are characterized by long periods of remission broken up by sudden, ...
IEEE

Nonlinear model predictive control strategies for a cyclorotor wave energy device

Abstract: Wave energy is one of the untapped renewable energy sources, requiring further development of wave energy converters (WECs) to become competitive with wind and solar energy. A significant ...
Scientific Research Publishing

A Spatio-Temporal Prediction Model for Wall Turbulence Based on Hybrid Neural Networks ()

The spatio-temporal evolution of wall-bounded turbulence is characterized by high nonlinearity, multi-scale dynamics, and chaotic nature, making its accurate prediction a significant challenge for ...
Scientific Research Publishing

Proposal for a Machine Learning Model to Improve Hauling Productivity in an Open-Pit Mine ()

This proposal outlines a machine learning-based approach aimed at improving productivity in haulage operations within open-pit mining. Since hauling accounts for up to 60% of total operational costs, ...