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20012023
most citedMATMPC - A MATLAB Based Toolbox for Real-time Nonlinear Model Predictive Control

67 citations · 283 across the 12 of their papers we have counts for

collaborators

12 papers

eess.SY2023★ 13 cited

A Learning-based Nonlinear Model Predictive Controller for a Real Go-Kart based on Black-box Dynamics Modeling through Gaussian Processes

Enrico Picotti, Enrico Mion, Alberto Dalla Libera +5

Lately, Nonlinear Model Predictive Control (NMPC)has been successfully applied to (semi-) autonomous driving problems and has proven to be a very promising technique. However, accu…

cs.LG2022★ 1 cited

A Multi-label Continual Learning Framework to Scale Deep Learning Approaches for Packaging Equipment Monitoring

Davide Dalle Pezze, Denis Deronjic, Chiara Masiero +3

Continual Learning aims to learn from a stream of tasks, being able to remember at the same time both new and old tasks. While many approaches were proposed for single-class classi…

math.OC2019★ 31 cited

An Efficient Move Blocking Strategy for Multiple Shooting based Nonlinear Model Predictive Control

Yutao Chen, Nicolo Scarabottolo, Mattia Bruschetta +1

Move blocking (MB) is a widely used strategy to reduce the degrees of freedom of the Optimal Control Problem (OCP) arising in receding horizon control. The size of the OCP is reduc…

eess.SY2018★ 67 cited

MATMPC - A MATLAB Based Toolbox for Real-time Nonlinear Model Predictive Control

Yutao Chen, Mattia Bruschetta, Enrico Picotti +1

In this paper we introduce MATMPC, an open source software built in MATLAB for nonlinear model predictive control (NMPC). It is designed to facilitate modelling, controller design…

eess.SY2018★ 26 cited

An Adaptive Partial Sensitivity Updating Scheme for Fast Nonlinear Model Predictive Control

Yutao Chen, Mattia Bruschetta, Davide Cuccato +1

In recent years, efficient optimization algorithms for Nonlinear Model Predictive Control (NMPC) have been proposed, that significantly reduce the on-line computational time. In pa…

physics.optics2015

Computing the laser beam path in optical cavities: a geometric Newton's method based approach

Davide Cuccato, Alessandro Saccon, Antonello Ortolan +1

In the last decade, increasing attention has been drawn to high precision optical experiments, which push resolution and accuracy of the measured quantities beyond their current li…