Mattia Laurini

According to our database, Mattia Laurini authored at least 20 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

A Dynamic Programming Approach for Cooperative Pallet-Loading Manipulators.

Luca Consolini, Mattia Laurini, Marco Locatelli

IEEE Trans Autom. Sci. Eng., October, 2024

Human-Imitating Control of Depth of Hypnosis Combining MPC and Event-Based PID Strategies.

Marco Milanesi, Luca Consolini, Giulia Di Credico, Nicola Latronico, Mattia Laurini, Massimiliano Paltenghi, Michele Schiavo, Antonio Visioli

IEEE Control. Syst. Lett., 2024

A Dynamic Programming Approach for Road Traffic Estimation.

Mattia Laurini, Irene Saccani, Stefano Ardizzoni, Luca Consolini, Marco Locatelli

CoRR, 2024

A Branch and Bound method for the exact parameter identification of the PK/PD model for anesthetic drugs.

Giulia Di Credico, Luca Consolini, Mattia Laurini, Marco Locatelli, Marco Milanesi, Michele Schiavo, Antonio Visioli

CoRR, 2024

Generalized Bang-Bang Control for Multivariable Feedforward Regulation.

Luca Consolini, Mattia Laurini, Aurelio Piazzi

Proceedings of the 32nd Mediterranean Conference on Control and Automation, 2024

2023

Solution Algorithms for the Bounded Acceleration Shortest Path Problem.

Stefano Ardizzoni, Luca Consolini, Mattia Laurini, Marco Locatelli

IEEE Trans. Autom. Control., March, 2023

2022

Shortest path with acceleration constraints: complexity and approximation algorithms.

Stefano Ardizzoni, Luca Consolini, Mattia Laurini, Marco Locatelli

Comput. Optim. Appl., 2022

2021

A Graph-Based Algorithm for Optimal Control of Switched Systems: An Application to Car Parking.

Mattia Laurini, Luca Consolini, Marco Locatelli

IEEE Trans. Autom. Control., 2021

Optimizing Cooperative Pallet Loading Robots: A Mixed Integer Approach.

Mattia Laurini, Luca Consolini, Marco Locatelli

IEEE Robotics Autom. Lett., 2021

The Bounded Acceleration Shortest Path problem: complexity and solution algorithms.

Stefano Ardizzoni, Luca Consolini, Mattia Laurini, Marco Locatelli

CoRR, 2021

Optimized feedforward control of propofol for induction of hypnosis in general anesthesia.

Michele Schiavo, Luca Consolini, Mattia Laurini, Nicola Latronico, Massimiliano Paltenghi, Antonio Visioli

Biomed. Signal Process. Control., 2021

Optimized robust combined feedforward/feedback control of propofol for induction of hypnosis in general anesthesia.

Michele Schiavo, Luca Consolini, Mattia Laurini, Nicola Latronico, Massimiliano Paltenghi, Antonio Visioli

Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Efficient solution algorithms for the Bounded Acceleration Shortest Path problem.

Stefano Ardizzoni, Luca Consolini, Mattia Laurini, Marco Locatelli

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020

Convergence Analysis of Spatial-Sampling-Based Algorithms for Time-Optimal Smooth Velocity Planning.

Luca Consolini, Mattia Laurini, Marco Locatelli, Federico Cabassi

J. Optim. Theory Appl., 2020

A solution of the minimum-time speed planning problem based on lattice theory.

Luca Consolini, Mattia Laurini, Marco Locatelli, Andrea Minari

J. Frankl. Inst., 2020

Fast numerical solution of optimal control problems for switched systems: An application to path planning.

Mattia Laurini, Luca Consolini, Marco Locatelli

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019

Globally Optimal Registration based on Fast Branch and Bound.

Luca Consolini, Mattia Laurini, Marco Locatelli, Dario Lodi Rizzini

CoRR, 2019

Graph-based algorithms for the efficient solution of optimization problems involving monotone functions.

Luca Consolini, Mattia Laurini, Marco Locatelli

Comput. Optim. Appl., 2019

2018

A Multigraph-Based Selective Update Method for the Efficient Solution of Dynamic Programming.

Mattia Laurini, Luca Consolini, Marco Locatelli

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2016

A Jacobi-like acceleration for dynamic programming.

Mattia Laurini, Piero Micelli, Luca Consolini, Marco Locatelli

Proceedings of the 55th IEEE Conference on Decision and Control, 2016