Predictive loyalty reduces friction: A refill arrives or a voucher appears at the right time. But this precision can feel ...

The integration of digital twin technology into wind turbine maintenance represents a significant advancement in the renewable energy sector. By enabling real-time monitoring and predictive analytics, ...

In this article, we address the model predictive control (MPC) problem for continuous-time linear time-invariant systems, with both state and input constraints. For computational efficiency, existing ...

This study introduces a Q-learning-based nonlinear model predictive control (QL-NMPC) framework for temperature control in batch reactors. A reinforcement learning agent is trained in simulation to ...

Model Predictive Path Integral (MPPI) control is a type of sampling-based model predictive control that simulates thousands of trajectories and uses these trajectories to synthesize optimal controls ...