Abstract: In this paper, the problem of clamping force control for the Electromechanical Brake (EMB) system in autonomous vehicles is addressed. A nonlinear model predictive control framework is ...

Abstract: This brief introduces a nonlinear model predictive control (NMPC) scheme for multirotor electric Vertical Take-off and Landing (eVTOL) aircrafts with many actuators. We present a novel ...

This project implements a complete pipeline for data-driven control of nonlinear dynamical systems using the Koopman operator framework combined with Model Predictive Control (MPC). The nonlinear ...

ARTIFICIAL intelligence is advancing rapidly. But adoption in process industries will be slower – and for good reason.

What is the best strategy to get the best rate of change in the PID for a manipulated variable, or is there a more elegant ...

Stock Price Prediction, Deep Learning, LSTM, GRU, Attention Mechanism, Financial Time Series Share and Cite: Kirui, D. (2026) ...

World Models (WMs) are a central framework for developing agents that reason and plan in a compact latent space. However, training these models directly from pixel data often leads to ‘representation ...

This manuscript presents important findings that challenge traditional models of speech processing by demonstrating that theta-gamma phase-amplitude coupling in the auditory cortex is primarily a ...

The increasing complexity of modern chemical engineering processes presents significant challenges for timely and accurate anomaly detection. Traditional ...

Formula 1 sells itself as a calendar, but it actually runs on a graph. Not the pretty Gantt chart you see at the season ...