Search Results for author:
Found 6 papers, 0 papers with code
Automatic dimensionality reduction of Twin-in-the-Loop Observers
Due to this reason, Bayesian Optimization will be used to solve a data-driven optimization problem to tune the filter.
Unraveling the Control Engineer's Craft with Neural Networks
In this paper, we present a sim2real, direct data-driven controller tuning approach, where the digital twin is used to generate input-output data and suitable controllers for several perturbations in its parameters.
Optimization tools for Twin-in-the-Loop vehicle control design: analysis and yaw-rate tracking case study
As the digital twin is assumed to be the best replica available of the real plant, the key issue in TiL-C becomes the tuning of the compensator, which must be performed relying on data only.
Joint vehicle state and parameters estimation via Twin-in-the-Loop observers
Vehicular control systems are required to be both extremely reliable and robust to different environmental conditions, e. g. load or tire-road friction.
The Twin-in-the-Loop approach for vehicle dynamics control
In vehicle dynamics control, engineering a suitable regulator is a long and costly process.
Exergy-based modeling framework for hybrid and electric ground vehicles
To show the capabilities of the proposed model in quantifying, locating, and ranking the sources of exergy losses, two case studies based on an electric vehicle and a parallel hybrid electric vehicle are analyzed considering a real-world driving cycle.
