7 citations · 23 across the 8 of their papers we have counts for
4 papers · 1 filter
Specification-Guided Critical Scenario Identification for Automated Driving
Adam Molin, Edgar A. Aguilar, Dejan Ničković +3
To test automated driving systems, we present a case study for finding critical scenarios in driving environments guided by formal specifications. To that aim, we devise a framewor…
Global and Preference-based Optimization with Mixed Variables using Piecewise Affine Surrogates
Mengjia Zhu, Alberto Bemporad
Optimization problems involving mixed variables (i.e., variables of numerical and categorical nature) can be challenging to solve, especially in the presence of mixed-variable cons…
C-GLISp: Preference-Based Global Optimization under Unknown Constraints with Applications to Controller Calibration
Mengjia Zhu, Dario Piga, Alberto Bemporad
Preference-based global optimization algorithms minimize an unknown objective function only based on whether the function is better, worse, or similar for given pairs of candidate…
Preference-based MPC calibration
Mengjia Zhu, Alberto Bemporad, Dario Piga
Automating the calibration of the parameters of a control policy by means of global optimization requires quantifying a closed-loop performance function. As this can be impractical…