Mauro Gaggero
Orcid: 0000-0002-5048-4141
According to our database1,
Mauro Gaggero
authored at least 59 papers
between 2005 and 2023.
Collaborative distances:
Collaborative distances:
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Bibliography
2023
Exact and heuristic solution approaches for energy-efficient identical parallel machine scheduling with time-of-use costs.
Eur. J. Oper. Res., December, 2023
Model Predictive Control for the Scheduling of Seedings in an Adaptive Vertical Farm.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
Mixed-Integer Linear Programming for the Scheduling of Seedings in an Industrial Adaptive Vertical Farm.
Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023
2022
IEEE Trans. Control. Syst. Technol., 2022
Scheduling Landing and Payload Switch of Unmanned Aerial Vehicles on a Single Automatic Platform.
Proceedings of the 18th IEEE International Conference on Automation Science and Engineering, 2022
2021
IEEE Trans. Ind. Informatics, 2021
Detection of Flow-Regime Transitions Using Dynamic Mode Decomposition and Moving Horizon Estimation.
IEEE Trans. Control. Syst. Technol., 2021
Correction to: Deep reinforcement learning for multi-objective placement of virtual machines in cloud datacenters.
Soft Comput., 2021
Deep reinforcement learning for multi-objective placement of virtual machines in cloud datacenters.
Soft Comput., 2021
Networks, 2021
Optimization of gas metering maintenance services: A multiobjective vehicle routing problem with a set of predefined overlapping time windows.
Networks, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
2020
2019
Optimal Control of Propagating Fronts by Using Level Set Methods and Neural Approximations.
IEEE Trans. Neural Networks Learn. Syst., 2019
An Improved Load Flow Method for MV Networks Based on LV Load Measurements and Estimations.
IEEE Trans. Instrum. Meas., 2019
Model Predictive Control for Energy-Efficient, Quality-Aware, and Secure Virtual Machine Placement.
IEEE Trans Autom. Sci. Eng., 2019
IEEE Access, 2019
Proceedings of the 58th IEEE Conference on Decision and Control, 2019
2018
Moving Horizon Trend Identification Based on Switching Models for Data Driven Decomposition of Fluid Flows.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018
Proceedings of the 2018 Annual American Control Conference, 2018
Black-box Modeling and Optimal Control of a Two-Phase Flow by Using Navier-Stokes Equations and Level Set Methods.
Proceedings of the 2018 Annual American Control Conference, 2018
2017
Fast Moving Horizon State Estimation for Discrete-Time Systems Using Single and Multi Iteration Descent Methods.
IEEE Trans. Autom. Control., 2017
Moving horizon state estimation for constrained discrete-time systems by using fast descent methods.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017
Proceedings of the 2017 American Control Conference, 2017
2016
Seeing the Unseen: Revealing Mobile Malware Hidden Communications via Energy Consumption and Artificial Intelligence.
IEEE Trans. Inf. Forensics Secur., 2016
IEEE Trans. Control. Syst. Technol., 2016
Moving-horizon estimation for discrete-time linear and nonlinear systems using the gradient and Newton methods.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016
Extended Kalman filtering to design optimal controllers of fronts generated by level set methods.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016
Proceedings of the 2016 American Control Conference, 2016
Model predictive control for the placement of virtual machines in cloud computing applications.
Proceedings of the 2016 American Control Conference, 2016
Proceedings of the 2016 American Control Conference, 2016
2015
Efficient use of Nadaraya-Watson models and low-discrepancy sequences for approximate dynamic programming.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
2014
Low-discrepancy sampling for approximate dynamic programming with local approximators.
Comput. Oper. Res., 2014
Approximate dynamic programming for stochastic <i>N</i>-stage optimization with application to optimal consumption under uncertainty.
Comput. Optim. Appl., 2014
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
An approach to exploit non-optimized data for efficient control of unknown systems through neural and kernel models.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
A predictive control approach for energy-aware consolidation of virtual machines in cloud computing.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014
Proceedings of the American Control Conference, 2014
2013
IEEE Trans. Control. Syst. Technol., 2013
Dynamic Programming and Value-Function Approximation in Sequential Decision Problems: Error Analysis and Numerical Results.
J. Optim. Theory Appl., 2013
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
Optimal control of PDE-based systems by using a finite-dimensional approximation scheme.
Proceedings of the American Control Conference, 2013
2012
Feedback Optimal Control of Distributed Parameter Systems by Using Finite-Dimensional Approximation Schemes.
IEEE Trans. Neural Networks Learn. Syst., 2012
Suboptimal Solutions to Team Optimization Problems with Stochastic Information Structure.
SIAM J. Optim., 2012
Neurocomputing, 2012
Approximation structures with moderate complexity in functional optimization and dynamic programming.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012
2011
IEEE Trans. Neural Networks, 2011
IEEE Trans. Control. Syst. Technol., 2011
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011
2009
Modeling and Identification of Nonlinear Dynamics for Freeway Traffic by Using Information From a Mobile Cellular Network.
IEEE Trans. Control. Syst. Technol., 2009
2008
Modeling and Feedback Control for Resource Allocation and Performance Analysis in Container Terminals.
IEEE Trans. Intell. Transp. Syst., 2008
Nonlinear predictive control for the management of container flows in maritime intermodal terminals.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008
2007
Identification of freeway traffic dynamics using fluid and black-box nonlinear models.
Proceedings of the 46th IEEE Conference on Decision and Control, 2007
2005
Proceedings of the 2005 European Conference on Circuit Theory and Design, 2005