Frontiers

Predictive Computational Models in Anesthesia and Coma

The transition between wakefulness and states of reduced consciousness, whether pharmacologically induced via anesthesia or pathologically necessitated by ...
Hosted on MSN

Master uncertainty with Python Monte Carlo magic

Monte Carlo simulations transform uncertainty into measurable insights by running thousands of randomized scenarios. With Python’s robust libraries—NumPy, SciPy, pandas—you can model complex systems, ...
IEEE

Robust Predictive Control of Heterogeneous Vehicle Groups in the Ramp Cloud-control System Using Historical Trajectory Features

Abstract: In the vehicle-cloud collaborative control system, the actual trajectories of heterogeneous vehicle groups often deviate from the desired trajectories planned by the cloud, due to factors ...
IEEE

Personalized Federated Learning-Based Distributed Model Predictive Control With Predictive Error Compensation for Nonlinear Networked Systems

Abstract: This paper develops a personalized federated learning-based distributed model predictive control (PFL-DMPC) method with predictive error compensation (PEC ...