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2020 – today
- 2024
[c33]Angelo Alessandri, Patrizia Bagnerini, Mauro Gaggero, Luca Mantelli:
Practical Observers for Velocity Field Estimation of Normal Flow Equations. ACC 2024: 1012-1017- [c32]Echrak Chnib, Patrizia Bagnerini, Mauro Gaggero, Ali Zemouche:
Parameter Estimation of a Dynamic Growth Model for Lettuce in an Adaptive Vertical Farm. CASE 2024: 1169-1174 - [c31]Echrak Chnib, Patrizia Bagnerini, Mauro Gaggero, Ali Zemouche:
Observer Design by Using a New Output-Based Dynamic Extension Technique. ECC 2024: 1736-1740 - 2023
- [j28]Mauro Gaggero, Massimo Paolucci
, Roberto Ronco:
Exact and heuristic solution approaches for energy-efficient identical parallel machine scheduling with time-of-use costs. Eur. J. Oper. Res. 311(3): 845-866 (2023) - [c30]Patrizia Bagnerini, Mauro Gaggero, Marco Ghio:
Mixed-Integer Linear Programming for the Scheduling of Seedings in an Industrial Adaptive Vertical Farm. CASE 2023: 1-6 - [c29]Patrizia Bagnerini, Mauro Gaggero, Marco Ghio:
Model Predictive Control for the Scheduling of Seedings in an Adaptive Vertical Farm. CDC 2023: 4303-4308 - 2022
- [j27]Angelo Alessandri, Patrizia Bagnerini, Mauro Gaggero, Luca Mantelli, Vincenzo Alessandro Santamaria, Alberto Traverso:
Black-Box Modeling and Optimal Control of a Two-Phase Flow Using Level Set Methods. IEEE Trans. Control. Syst. Technol. 30(2): 520-534 (2022) - [c28]Elena Ausonio, Patrizia Bagnerini, Mauro Gaggero:
Scheduling Landing and Payload Switch of Unmanned Aerial Vehicles on a Single Automatic Platform. CASE 2022: 499-504 - 2021
- [j26]Mauro Gaggero, Flavio Tonelli:
A two-step optimization model for the distribution of perishable products. Networks 78(1): 69-87 (2021) - [j25]Lucia Cassettari, Mauro Gaggero, Stefano Saccaro:
Optimization of gas metering maintenance services: A multiobjective vehicle routing problem with a set of predefined overlapping time windows. Networks 78(3): 284-302 (2021) - [j24]Luca Caviglione, Mauro Gaggero, Massimo Paolucci, Roberto Ronco:
Deep reinforcement learning for multi-objective placement of virtual machines in cloud datacenters. Soft Comput. 25(19): 12569-12588 (2021) - [j23]Luca Caviglione, Mauro Gaggero, Massimo Paolucci, Roberto Ronco:
Correction to: Deep reinforcement learning for multi-objective placement of virtual machines in cloud datacenters. Soft Comput. 25(19): 12589 (2021) - [j22]Angelo Alessandri, Patrizia Bagnerini, Mauro Gaggero, Davide Lengani, Daniele Simoni:
Detection of Flow-Regime Transitions Using Dynamic Mode Decomposition and Moving Horizon Estimation. IEEE Trans. Control. Syst. Technol. 29(3): 1324-1331 (2021) - [j21]Luca Caviglione, Mauro Gaggero:
Multiobjective Placement for Secure and Dependable Smart Industrial Environments. IEEE Trans. Ind. Informatics 17(2): 1298-1306 (2021) - [c27]Cristiano Cervellera, Mauro Gaggero, Danilo Macciò:
Policy Optimization for Berth Allocation Problems. IJCNN 2021: 1-6 - 2020
- [j20]Angelo Alessandri, Patrizia Bagnerini, Mauro Gaggero, Anna Rossi:
State and observer-based feedback control of normal flow equations. Autom. 117: 108980 (2020) - [i1]Angelo Alessandri, Patrizia Bagnerini, Mauro Gaggero, Luca Mantelli:
Parameter Estimation of Fire Propagation Models Using Level Set Methods. CoRR abs/2006.16550 (2020)
2010 – 2019
- 2019
- [j19]Mauro Gaggero, Donato Di Paola, Antonio Petitti, Luca Caviglione:
When Time Matters: Predictive Mission Planning in Cyber-Physical Scenarios. IEEE Access 7: 11246-11257 (2019) - [j18]Mauro Gaggero, Luca Caviglione:
Model Predictive Control for Energy-Efficient, Quality-Aware, and Secure Virtual Machine Placement. IEEE Trans Autom. Sci. Eng. 16(1): 420-432 (2019) - [j17]Antonio Cataliotti, Cristiano Cervellera, Valentina Cosentino, Dario Di Cara, Mauro Gaggero, Danilo Macciò, Giuseppe Marsala, Antonella Ragusa, Giovanni Tinè:
An Improved Load Flow Method for MV Networks Based on LV Load Measurements and Estimations. IEEE Trans. Instrum. Meas. 68(2): 430-438 (2019) - [j16]Angelo Alessandri, Patrizia Bagnerini, Mauro Gaggero:
Optimal Control of Propagating Fronts by Using Level Set Methods and Neural Approximations. IEEE Trans. Neural Networks Learn. Syst. 30(3): 902-912 (2019) - [c26]Angelo Alessandri, Patrizia Bagnerini, C. Carmeli, Mauro Gaggero, Davide Lengani, Daniele Simoni:
On-line Mode Decomposition of Fluid Flows Using Moving Horizon Estimation. CDC 2019: 2163-2168 - 2018
- [c25]Angelo Alessandri, Patrizia Bagnerini, Mauro Gaggero, Anna Rossi:
Feedback Control on the Velocity Field and Source Term of a Normal Flow Equation. ACC 2018: 1714-1719 - [c24]Angelo Alessandri, Patrizia Bagnerini, Mauro Gaggero, Luca Mantelli, Vincenzo Alessandro Santamaria, Alberto Traverso:
Black-box Modeling and Optimal Control of a Two-Phase Flow by Using Navier-Stokes Equations and Level Set Methods. ACC 2018: 3429-3434 - [c23]Angelo Alessandri, Patrizia Bagnerini, Mauro Gaggero, Davide Lengani, Daniele Simoni:
Moving Horizon Trend Identification Based on Switching Models for Data Driven Decomposition of Fluid Flows. CDC 2018: 2138-2143 - 2017
- [j15]Luca Caviglione, Mauro Gaggero, Enrico Cambiaso, Maurizio Aiello:
Measuring the Energy Consumption of Cyber Security. IEEE Commun. Mag. 55(7): 58-63 (2017) - [j14]Angelo Alessandri, Mauro Gaggero:
Fast Moving Horizon State Estimation for Discrete-Time Systems Using Single and Multi Iteration Descent Methods. IEEE Trans. Autom. Control. 62(9): 4499-4511 (2017) - [c22]Angelo Alessandri, Patrizia Bagnerini, Mauro Gaggero:
Parameter identification of the normal flow equation by using adaptive estimation. ACC 2017: 3177-3182 - [c21]Angelo Alessandri, Mauro Gaggero:
Moving horizon state estimation for constrained discrete-time systems by using fast descent methods. CDC 2017: 2176-2181 - 2016
- [j13]Mauro Gaggero, Luca Caviglione:
Predictive Control for Energy-Aware Consolidation in Cloud Datacenters. IEEE Trans. Control. Syst. Technol. 24(2): 461-474 (2016) - [j12]Luca Caviglione, Mauro Gaggero, Jean-François Lalande, Wojciech Mazurczyk, Marcin Urbanski:
Seeing the Unseen: Revealing Mobile Malware Hidden Communications via Energy Consumption and Artificial Intelligence. IEEE Trans. Inf. Forensics Secur. 11(4): 799-810 (2016) - [c20]Mauro Gaggero, Luca Caviglione:
Model predictive control for the placement of virtual machines in cloud computing applications. ACC 2016: 1987-1992 - [c19]Donato Di Paola, Mauro Gaggero, Antonio Petitti, Luca Caviglione:
Optimal control of time instants for task replanning in robotic networks. ACC 2016: 1993-1998 - [c18]Angelo Alessandri, Patrizia Bagnerini, Mauro Gaggero, Alberto Traverso:
Further results on the optimal control of fronts generated by level set methods. ACC 2016: 5225-5230 - [c17]Angelo Alessandri, Mauro Gaggero:
Moving-horizon estimation for discrete-time linear and nonlinear systems using the gradient and Newton methods. CDC 2016: 2906-2911 - [c16]Angelo Alessandri, Patrizia Bagnerini, Mauro Gaggero:
Extended Kalman filtering to design optimal controllers of fronts generated by level set methods. CDC 2016: 3966-3971 - 2015
- [c15]Cristiano Cervellera, Mauro Gaggero, Danilo Macciò, Roberto Marcialis:
Lattice point sets for efficient kernel smoothing models. IJCNN 2015: 1-8 - [c14]Cristiano Cervellera, Mauro Gaggero, Danilo Macciò, Roberto Marcialis:
Efficient use of Nadaraya-Watson models and low-discrepancy sequences for approximate dynamic programming. IJCNN 2015: 1-8 - 2014
- [j11]Mauro Gaggero, Giorgio Gnecco, Marcello Sanguineti:
Approximate dynamic programming for stochastic N-stage optimization with application to optimal consumption under uncertainty. Comput. Optim. Appl. 58(1): 31-85 (2014) - [j10]Cristiano Cervellera, Mauro Gaggero, Danilo Macciò:
Low-discrepancy sampling for approximate dynamic programming with local approximators. Comput. Oper. Res. 43: 108-115 (2014) - [c13]Angelo Alessandri, Patrizia Bagnerini, Mauro Gaggero:
Optimal control of level sets dynamics. ACC 2014: 2208-2213 - [c12]Mauro Gaggero, Luca Caviglione:
A predictive control approach for energy-aware consolidation of virtual machines in cloud computing. CDC 2014: 5308-5313 - [c11]Angelo Alessandri, Mauro Gaggero, Flavio Tonelli:
Robust predictive control for the management of multi-echelon distribution chains. CDC 2014: 6459-6464 - [c10]Cristiano Cervellera, Mauro Gaggero, Danilo Macciò:
An analysis based on F-discrepancy for sampling in regression tree learning. IJCNN 2014: 1115-1121 - [c9]Cristiano Cervellera, Mauro Gaggero, Danilo Macciò, Roberto Marcialis:
An approach to exploit non-optimized data for efficient control of unknown systems through neural and kernel models. IJCNN 2014: 1856-1863 - [c8]Cristiano Cervellera, Mauro Gaggero, Danilo Macciò, Roberto Marcialis:
Lattice sampling for efficient learning with Nadaraya-Watson local models. IJCNN 2014: 1915-1922 - 2013
- [j9]Mauro Gaggero, Giorgio Gnecco, Marcello Sanguineti:
Dynamic Programming and Value-Function Approximation in Sequential Decision Problems: Error Analysis and Numerical Results. J. Optim. Theory Appl. 156(2): 380-416 (2013) - [j8]Angelo Alessandri, Cristiano Cervellera, Mauro Gaggero:
Predictive Control of Container Flows in Maritime Intermodal Terminals. IEEE Trans. Control. Syst. Technol. 21(4): 1423-1431 (2013) - [c7]Angelo Alessandri, Patrizia Bagnerini, Mauro Gaggero:
Optimal control of PDE-based systems by using a finite-dimensional approximation scheme. ACC 2013: 1278-1283 - [c6]Cristiano Cervellera, Mauro Gaggero, Danilo Macciò, Roberto Marcialis:
Quasi-random sampling for approximate dynamic programming. IJCNN 2013: 1-8 - 2012
- [j7]Cristiano Cervellera, Mauro Gaggero, Danilo Macciò:
Efficient kernel models for learning and approximate minimization problems. Neurocomputing 97: 74-85 (2012) - [j6]Giorgio Gnecco, Marcello Sanguineti, Mauro Gaggero:
Suboptimal Solutions to Team Optimization Problems with Stochastic Information Structure. SIAM J. Optim. 22(1): 212-243 (2012) - [j5]Angelo Alessandri, Mauro Gaggero, Riccardo Zoppoli:
Feedback Optimal Control of Distributed Parameter Systems by Using Finite-Dimensional Approximation Schemes. IEEE Trans. Neural Networks Learn. Syst. 23(6): 984-996 (2012) - [c5]Mauro Gaggero, Giorgio Gnecco, Thomas Parisini, Marcello Sanguineti, Riccardo Zoppoli:
Approximation structures with moderate complexity in functional optimization and dynamic programming. CDC 2012: 1902-1908 - 2011
- [j4]Angelo Alessandri, Mauro Gaggero, Flavio Tonelli:
Min-Max and Predictive Control for the Management of Distribution in Supply Chains. IEEE Trans. Control. Syst. Technol. 19(5): 1075-1089 (2011) - [j3]Angelo Alessandri, Marco Baglietto, Giorgio Battistelli, Mauro Gaggero:
Moving-Horizon State Estimation for Nonlinear Systems Using Neural Networks. IEEE Trans. Neural Networks 22(5): 768-780 (2011) - [c4]Angelo Alessandri, Mauro Gaggero, Flavio Tonelli:
Integer tree-based search and mixed-integer optimal control of distribution chains. CDC/ECC 2011: 489-494
2000 – 2009
- 2009
- [j2]Angelo Alessandri, Raffaele Bolla, Mauro Gaggero, Matteo Repetto:
Modeling and Identification of Nonlinear Dynamics for Freeway Traffic by Using Information From a Mobile Cellular Network. IEEE Trans. Control. Syst. Technol. 17(4): 952-959 (2009) - 2008
- [j1]Angelo Alessandri, Cristiano Cervellera, Marta Cuneo, Mauro Gaggero, G. Soncin:
Modeling and Feedback Control for Resource Allocation and Performance Analysis in Container Terminals. IEEE Trans. Intell. Transp. Syst. 9(4): 601-614 (2008) - [c3]Angelo Alessandri, Cristiano Cervellera, Marta Cuneo, Mauro Gaggero:
Nonlinear predictive control for the management of container flows in maritime intermodal terminals. CDC 2008: 2800-2805 - 2007
- [c2]Angelo Alessandri, Raffaele Bolla, Mauro Gaggero, Matteo Repetto:
Identification of freeway traffic dynamics using fluid and black-box nonlinear models. CDC 2007: 2962-2967 - 2005
- [c1]Mauro Gaggero, Mauro Parodi, Marco Storace:
Multiresolution PWL approximations. ECCTD 2005: 393-396
Coauthor Index
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last updated on 2024-11-08 20:23 CET by the dblp team
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