activity
20222025
most citedAC4MPC: Actor-Critic Reinforcement Learning for Nonlinear Model Predictive Control

2 citations · 2 across the 7 of their papers we have counts for

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5 papers · 1 filter

math.OC2025

A Comparative Study of MINLP and MPVC Formulations for Solving Complex Nonlinear Decision-Making Problems in Aerospace Applications

Andrea Ghezzi, Armin Nurkanović, Avishai Weiss +2

High-level decision-making for dynamical systems often involves performance and safety specifications that are activated or deactivated depending on conditions related to the syste…

math.OC2025

Rollout Then Optimize: A One-Step Newton Refinement of Learned Policies for Nonlinear Model Predictive Control

Andrea Ghezzi, Rudolf Reiter, Katrin Baumgärtner +2

We propose a computationally efficient rollout-then-optimize method to improve a learned control policy at deployment time. A learned policy provides a nominal trajectory, which is…

math.OC2024

A Sequential Benders-based Mixed-Integer Quadratic Programming Algorithm and Its Implementation in the CAMINO Toolbox

Andrea Ghezzi, Wim Van Roy, Sebastian Sager +1

Sequential quadratic programming and sequential convex programming efficiently solve nonlinear programs (NLPs) by linearizing inner nonlinearities while preserving the outer convex…

math.OC2022

An Efficient Method for the Joint Estimation of System Parameters and Noise Covariances for Linear Time-Variant Systems

Léo Simpson, Andrea Ghezzi, Jonas Asprion +1

We present an optimization-based method for the joint estimation of system parameters and noise covariances of linear time-variant systems. Given measured data, this method maximiz…

math.OC2022

An Implicit and Explicit Dual Model Predictive Control Formulation for a Steel Recycling Process

Andrea Ghezzi, Florian Messerer, Jacopo Balocco +2

We present a formulation for both implicit and explicit dual model predictive control for a steel recycling process. The process consists in the production of new steel by choosing…