4 citations · 7 across the 8 of their papers we have counts for
5 papers · 1 filter
Unifying Decision-Making and Trajectory-Planning in Unsignalized Intersections Using Time-Varying Potential Fields
David Costa, Francesco Cerrito, Massimo Canale +1
This paper presents a novel framework for integrated Decision-Making (DM) and Trajectory Planning (TP) for automated vehicles at unsignalized intersections. The approach leverages…
A Finite-Gain Stability Approach to NMPC Design: the Extended Version
Carlo Novara, Mattia Boggio, Lorenzo Calogero +1
This paper proposes a novel approach to design of Nonlinear Model Predictive Control (NMPC) schemes based on Finite-Gain Stability (FGS) concepts. The proposed formulation consider…
Unifying Decision Making and Trajectory Planning in Automated Driving through Time-Varying Potential Fields
David Costa, Francesco Cerrito, Massimo Canale +1
This paper proposes a unified decision making and local trajectory planning framework based on Time-Varying Artificial Potential Fields (TVAPFs). The TVAPF explicitly models the pr…
A Quantum-Compliant Formulation for Network Epidemic Control
Lorenzo Zino, Mattia Boggio, Deborah Volpe +3
We deal with controlling the spread of an epidemic disease on a network by isolating one or multiple locations by banning people from leaving them. To this aim, we build on the sus…
Quantum optimization for Nonlinear Model Predictive Control
Carlo Novara, Mattia Boggio, Deborah Volpe
Nonlinear Model Predictive Control (NMPC) is a general and flexible control approach, used in many industrial contexts, and is based on the online solution of a nonlinear optimizat…