Martino Gulisano

Parsimonious disturbance-aware minimum-time planning with parametric uncertainty

This study presents and validates a minimum-lap-time planning framework for motorsport applications that embeds robustness against both state disturbances and parameter uncertainty, and demonstrates the improved driveability of the robust references by employing a model predictive controller as a virtual test driver.