19 citations · 30 across the 5 of their papers we have counts for
5 papers
Automatic dimensionality reduction of Twin-in-the-Loop Observers
Giacomo Delcaro, Riccardo Poli, Federico Dettù +2
Conventional vehicle dynamics estimation methods suffer from the drawback of employing independent, separately calibrated filtering modules for each variable. To address this limit…
Unraveling the Control Engineer's Craft with Neural Networks
Braghadeesh Lakshminarayanan, Federico Dettù, Cristian R. Rojas +1
Many industrial processes require suitable controllers to meet their performance requirements. More often, a sophisticated digital twin is available, which is a highly complex mode…
Optimization tools for Twin-in-the-Loop vehicle control design: analysis and yaw-rate tracking case study
Federico Dettù, Simone Formentin, Stefano Varisco +1
Given the urgent need of simplifying the end-of-line tuning of complex vehicle dynamics controllers, the Twin-in-the-Loop Control (TiL-C) approach was recently proposed in the auto…
Joint vehicle state and parameters estimation via Twin-in-the-Loop observers
Federico Dettù, Simone Formentin, Sergio Matteo Savaresi
Vehicular control systems are required to be both extremely reliable and robust to different environmental conditions, e.g. load or tire-road friction. In this paper, we extend a n…
The Twin-in-the-Loop approach for vehicle dynamics control
Federico Dettù, Simone Formentin, Sergio Matteo Savaresi
In vehicle dynamics control, engineering a suitable regulator is a long and costly process. The starting point is usually the design of a nominal controller based on a simple contr…