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20162026
most citedAutonomous Vehicles on the Edge: A Survey on Autonomous Vehicle Racing

323 citations · 407 across the 32 of their papers we have counts for

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6 papers · 1 filter

math.OC2025

Speed-Aware Network Design: A Parametric Optimization Approach

Ugo Rosolia, Marc Bataillou Almagro, George Iosifidis +2

Network design problems have been studied from the 1950s, as they can be used in a wide range of real-world applications, e.g., design of communication and transportation networks.…

math.OC2023★ 1 cited

Solving Recurrent MIPs with Semi-supervised Graph Neural Networks

Konstantinos Benidis, Ugo Rosolia, Syama Rangapuram +2

We propose an ML-based model that automates and expedites the solution of MIPs by predicting the values of variables. Our approach is motivated by the observation that many problem…

math.OC2021

The Mixed-Observable Constrained Linear Quadratic Regulator Problem: the Exact Solution and Practical Algorithms

Ugo Rosolia, Yuxiao Chen, Shreyansh Daftry +3

This paper studies the problem of steering a linear time-invariant system subject to state and input constraints towards a goal location that may be inferred only through partial o…

math.OC2020

On the Optimality and Convergence Properties of the Iterative Learning Model Predictive Controller

Ugo Rosolia, Yingzhao Lian, Emilio T. Maddalena +2

In this technical note we analyse the performance improvement and optimality properties of the Learning Model Predictive Control (LMPC) strategy for linear deterministic systems. T…

math.OC2020

Output-Lifted Learning Model Predictive Control

Siddharth H. Nair, Ugo Rosolia, Francesco Borrelli

We propose a computationally efficient Learning Model Predictive Control (LMPC) scheme for constrained optimal control of a class of nonlinear systems where the state and input can…

math.OC2017

Learning Model Predictive Control for Iterative Tasks: A Computationally Efficient Approach for Linear System

Ugo Rosolia, Francesco Borrelli

A Learning Model Predictive Controller (LMPC) for linear system in presented. The proposed controller is an extension of the LMPC [1] and it aims to decrease the computational burd…