Multiresolution PWL approximations. - Mauro Gaggero; Mauro Parodi; Marco Storace (ECCTD, 2005)

Identification of freeway traffic dynamics using fluid and black-box nonlinear models. - Angelo Alessandri; Raffaele Bolla; Mauro Gaggero; Matteo Repetto (CDC, 2007)

Nonlinear predictive control for the management of container flows in maritime intermodal terminals. - Angelo Alessandri; Cristiano Cervellera; Marta Cuneo; Mauro Gaggero (CDC, 2008)

Modeling and Feedback Control for Resource Allocation and Performance Analysis in Container Terminals. - Angelo Alessandri; Cristiano Cervellera; Marta Cuneo; Mauro Gaggero; G. Soncin (IEEE Trans. Intell. Transp. Syst., 2008)

Modeling and Identification of Nonlinear Dynamics for Freeway Traffic by Using Information From a Mobile Cellular Network. - Angelo Alessandri; Raffaele Bolla; Mauro Gaggero; Matteo Repetto (IEEE Trans. Control. Syst. Technol., 2009)

Integer tree-based search and mixed-integer optimal control of distribution chains. - Angelo Alessandri; Mauro Gaggero; Flavio Tonelli (CDC/ECC, 2011)

Min-Max and Predictive Control for the Management of Distribution in Supply Chains. - Angelo Alessandri; Mauro Gaggero; Flavio Tonelli (IEEE Trans. Control. Syst. Technol., 2011)

Moving-Horizon State Estimation for Nonlinear Systems Using Neural Networks. - Angelo Alessandri; Marco Baglietto; Giorgio Battistelli; Mauro Gaggero (IEEE Trans. Neural Networks, 2011)

Approximation structures with moderate complexity in functional optimization and dynamic programming. - Mauro Gaggero; Giorgio Gnecco; Thomas Parisini; Marcello Sanguineti; Riccardo Zoppoli (CDC, 2012)

Efficient kernel models for learning and approximate minimization problems. - Cristiano Cervellera; Mauro Gaggero; Danilo Macciò (Neurocomputing, 2012)

Suboptimal Solutions to Team Optimization Problems with Stochastic Information Structure. - Giorgio Gnecco; Marcello Sanguineti; Mauro Gaggero (SIAM J. Optim., 2012)

Feedback Optimal Control of Distributed Parameter Systems by Using Finite-Dimensional Approximation Schemes. - Angelo Alessandri; Mauro Gaggero; Riccardo Zoppoli (IEEE Trans. Neural Networks Learn. Syst., 2012)

Optimal control of PDE-based systems by using a finite-dimensional approximation scheme. - Angelo Alessandri; Patrizia Bagnerini; Mauro Gaggero (ACC, 2013)

Quasi-random sampling for approximate dynamic programming. - Cristiano Cervellera; Mauro Gaggero; Danilo Macciò; Roberto Marcialis (IJCNN, 2013)

Dynamic Programming and Value-Function Approximation in Sequential Decision Problems: Error Analysis and Numerical Results. - Mauro Gaggero; Giorgio Gnecco; Marcello Sanguineti (J. Optim. Theory Appl., 2013)

Predictive Control of Container Flows in Maritime Intermodal Terminals. - Angelo Alessandri; Cristiano Cervellera; Mauro Gaggero (IEEE Trans. Control. Syst. Technol., 2013)

Optimal control of level sets dynamics. - Angelo Alessandri; Patrizia Bagnerini; Mauro Gaggero (ACC, 2014)

Robust predictive control for the management of multi-echelon distribution chains. - Angelo Alessandri; Mauro Gaggero; Flavio Tonelli (CDC, 2014)

A predictive control approach for energy-aware consolidation of virtual machines in cloud computing. - Mauro Gaggero; Luca Caviglione (CDC, 2014)

An analysis based on F-discrepancy for sampling in regression tree learning. - Cristiano Cervellera; Mauro Gaggero; Danilo Macciò (IJCNN, 2014)

An approach to exploit non-optimized data for efficient control of unknown systems through neural and kernel models. - Cristiano Cervellera; Mauro Gaggero; Danilo Macciò; Roberto Marcialis (IJCNN, 2014)

Lattice sampling for efficient learning with Nadaraya-Watson local models. - Cristiano Cervellera; Mauro Gaggero; Danilo Macciò; Roberto Marcialis (IJCNN, 2014)

Approximate dynamic programming for stochastic N-stage optimization with application to optimal consumption under uncertainty. - Mauro Gaggero; Giorgio Gnecco; Marcello Sanguineti (Comput. Optim. Appl., 2014)

Low-discrepancy sampling for approximate dynamic programming with local approximators. - Cristiano Cervellera; Mauro Gaggero; Danilo Macciò (Comput. Oper. Res., 2014)

Lattice point sets for efficient kernel smoothing models. - Cristiano Cervellera; Mauro Gaggero; Danilo Macciò; Roberto Marcialis (IJCNN, 2015)

Efficient use of Nadaraya-Watson models and low-discrepancy sequences for approximate dynamic programming. - Cristiano Cervellera; Mauro Gaggero; Danilo Macciò; Roberto Marcialis (IJCNN, 2015)

Further results on the optimal control of fronts generated by level set methods. - Angelo Alessandri; Patrizia Bagnerini; Mauro Gaggero; Alberto Traverso (ACC, 2016)

Model predictive control for the placement of virtual machines in cloud computing applications. - Mauro Gaggero; Luca Caviglione (ACC, 2016)

Optimal control of time instants for task replanning in robotic networks. - Donato Di Paola; Mauro Gaggero; Antonio Petitti; Luca Caviglione (ACC, 2016)

Extended Kalman filtering to design optimal controllers of fronts generated by level set methods. - Angelo Alessandri; Patrizia Bagnerini; Mauro Gaggero (CDC, 2016)

Moving-horizon estimation for discrete-time linear and nonlinear systems using the gradient and Newton methods. - Angelo Alessandri; Mauro Gaggero (CDC, 2016)

Predictive Control for Energy-Aware Consolidation in Cloud Datacenters. - Mauro Gaggero; Luca Caviglione (IEEE Trans. Control. Syst. Technol., 2016)

Seeing the Unseen: Revealing Mobile Malware Hidden Communications via Energy Consumption and Artificial Intelligence. - Luca Caviglione; Mauro Gaggero; Jean-François Lalande; Wojciech Mazurczyk; Marcin Urbanski (IEEE Trans. Inf. Forensics Secur., 2016)

Parameter identification of the normal flow equation by using adaptive estimation. - Angelo Alessandri; Patrizia Bagnerini; Mauro Gaggero (ACC, 2017)

Moving horizon state estimation for constrained discrete-time systems by using fast descent methods. - Angelo Alessandri; Mauro Gaggero (CDC, 2017)

Measuring the Energy Consumption of Cyber Security. - Luca Caviglione; Mauro Gaggero; Enrico Cambiaso; Maurizio Aiello (IEEE Commun. Mag., 2017)

Fast Moving Horizon State Estimation for Discrete-Time Systems Using Single and Multi Iteration Descent Methods. - Angelo Alessandri; Mauro Gaggero (IEEE Trans. Autom. Control., 2017)

Black-box Modeling and Optimal Control of a Two-Phase Flow by Using Navier-Stokes Equations and Level Set Methods. - Angelo Alessandri; Patrizia Bagnerini; Mauro Gaggero; Luca Mantelli; Vincenzo Alessandro Santamaria; Alberto Traverso (ACC, 2018)

Feedback Control on the Velocity Field and Source Term of a Normal Flow Equation. - Angelo Alessandri; Patrizia Bagnerini; Mauro Gaggero; Anna Rossi (ACC, 2018)

Moving Horizon Trend Identification Based on Switching Models for Data Driven Decomposition of Fluid Flows. - Angelo Alessandri; Patrizia Bagnerini; Mauro Gaggero; Davide Lengani; Daniele Simoni (CDC, 2018)

On-line Mode Decomposition of Fluid Flows Using Moving Horizon Estimation. - Angelo Alessandri; Patrizia Bagnerini; C. Carmeli; Mauro Gaggero; Davide Lengani; Daniele Simoni (CDC, 2019)

When Time Matters: Predictive Mission Planning in Cyber-Physical Scenarios. - Mauro Gaggero; Donato Di Paola; Antonio Petitti; Luca Caviglione (IEEE Access, 2019)

Model Predictive Control for Energy-Efficient, Quality-Aware, and Secure Virtual Machine Placement. - Mauro Gaggero; Luca Caviglione (IEEE Trans Autom. Sci. Eng., 2019)

An Improved Load Flow Method for MV Networks Based on LV Load Measurements and Estimations. - Antonio Cataliotti; Cristiano Cervellera; Valentina Cosentino; Dario Di Cara; Mauro Gaggero; Danilo Macciò; Giuseppe Marsala; Antonella Ragusa; Giovanni Tinè (IEEE Trans. Instrum. Meas., 2019)

Optimal Control of Propagating Fronts by Using Level Set Methods and Neural Approximations. - Angelo Alessandri; Patrizia Bagnerini; Mauro Gaggero (IEEE Trans. Neural Networks Learn. Syst., 2019)

State and observer-based feedback control of normal flow equations. - Angelo Alessandri; Patrizia Bagnerini; Mauro Gaggero; Anna Rossi (Autom., 2020)

Parameter Estimation of Fire Propagation Models Using Level Set Methods. - Angelo Alessandri; Patrizia Bagnerini; Mauro Gaggero; Luca Mantelli (CoRR, 2020)

Policy Optimization for Berth Allocation Problems. - Cristiano Cervellera; Mauro Gaggero; Danilo Macciò (IJCNN, 2021)

Optimization of gas metering maintenance services: A multiobjective vehicle routing problem with a set of predefined overlapping time windows. - Lucia Cassettari; Mauro Gaggero; Stefano Saccaro (Networks, 2021)

A two-step optimization model for the distribution of perishable products. - Mauro Gaggero; Flavio Tonelli (Networks, 2021)

Deep reinforcement learning for multi-objective placement of virtual machines in cloud datacenters. - Luca Caviglione; Mauro Gaggero; Massimo Paolucci 002; Roberto Ronco (Soft Comput., 2021)

Correction to: Deep reinforcement learning for multi-objective placement of virtual machines in cloud datacenters. - Luca Caviglione; Mauro Gaggero; Massimo Paolucci 002; Roberto Ronco (Soft Comput., 2021)

Detection of Flow-Regime Transitions Using Dynamic Mode Decomposition and Moving Horizon Estimation. - Angelo Alessandri; Patrizia Bagnerini; Mauro Gaggero; Davide Lengani; Daniele Simoni (IEEE Trans. Control. Syst. Technol., 2021)

Multiobjective Placement for Secure and Dependable Smart Industrial Environments. - Luca Caviglione; Mauro Gaggero (IEEE Trans. Ind. Informatics, 2021)

Scheduling Landing and Payload Switch of Unmanned Aerial Vehicles on a Single Automatic Platform. - Elena Ausonio; Patrizia Bagnerini; Mauro Gaggero (CASE, 2022)

Black-Box Modeling and Optimal Control of a Two-Phase Flow Using Level Set Methods. - Angelo Alessandri; Patrizia Bagnerini; Mauro Gaggero; Luca Mantelli; Vincenzo Alessandro Santamaria; Alberto Traverso (IEEE Trans. Control. Syst. Technol., 2022)

Mixed-Integer Linear Programming for the Scheduling of Seedings in an Industrial Adaptive Vertical Farm. - Patrizia Bagnerini; Mauro Gaggero; Marco Ghio (CASE, 2023)

Model Predictive Control for the Scheduling of Seedings in an Adaptive Vertical Farm. - Patrizia Bagnerini; Mauro Gaggero; Marco Ghio (CDC, 2023)

Exact and heuristic solution approaches for energy-efficient identical parallel machine scheduling with time-of-use costs. - Mauro Gaggero; Massimo Paolucci 002; Roberto Ronco (Eur. J. Oper. Res., 2023)

Practical Observers for Velocity Field Estimation of Normal Flow Equations. - Angelo Alessandri; Patrizia Bagnerini; Mauro Gaggero; Luca Mantelli (ACC, 2024)

Parameter Estimation of a Dynamic Growth Model for Lettuce in an Adaptive Vertical Farm. - Echrak Chnib; Patrizia Bagnerini; Mauro Gaggero; Ali Zemouche (CASE, 2024)

Multi-crop scheduling of sowings in adaptive vertical farms with model predictive control. - Patrizia Bagnerini; Mauro Gaggero; Marco Ghio (CDC, 2024)

Observer Design by Using a New Output-Based Dynamic Extension Technique. - Echrak Chnib; Patrizia Bagnerini; Mauro Gaggero; Ali Zemouche (ECC, 2024)

Optimizing the Transportation of CO2 Via Vessels in a Milk Run Network of Three Ports. - Mauro Gaggero (ITSC, 2024)

Gradient-Based Line-Search Optimization for Moving Horizon Estimation. - Dyhia Bouhadjra; Mauro Gaggero; Angelo Alessandri (ACC, 2025)

Dynamic Extended Output-Based Observer for an Adaptive Vertical Farm Quadcopter. - Echrak Chnib; Patrizia Bagnerini; Mauro Gaggero; Ali Zemouche (ACC, 2025)

Adaptive dipole-like parameter calibration of complex black-box continuous processes. - Avi Herbon; Mauro Gaggero; Eugene Khmelnitsky; Marcello Sanguineti (Comput. Optim. Appl., 2025)