Search Results - "Girolamo, Giovanni Domenico Di"

Codesign of controller, routing and scheduling in WirelessHART networked control systems by Di Girolamo, Giovanni Domenico, D'Innocenzo, Alessandro

“…Summary In this paper, we provide a novel methodology to co‐design controller, scheduling and routing in a wireless control network compliant with the…”
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Learning Models for Seismic-Induced Vibrations Optimal Control in Structures via Random Forests by Smarra, Francesco, Girolamo, Giovanni Domenico Di, Gattulli, Vincenzo, Graziosi, Fabio, D’Innocenzo, Alessandro

“…Data-driven modeling of dynamical systems gathers attention in several applications; in conjunction with model predictive control, novel different…”
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Modeling and Control of Priority Queueing in Software Defined Networks via Machine Learning by Reticcioli, Enrico, Di Girolamo, Giovanni Domenico, Smarra, Francesco, Torzi, Angelo, Graziosi, Fabio, D'innocenzo, Alessandro

“…Software Defined Networking (SDN) is a new architectural paradigm that enables programmable control of a network to make it more flexible and easier to manage…”
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A Comparison of Classical Identification and Learning-Based Techniques for Cyber-Physical Systems by De Iuliis, Vittorio, Domenico Di Girolamo, Giovanni, Smarra, Francesco, D'Innocenzo, Alessandro

“…This paper proposes a comparative study on the predictive accuracy of some classical system identification techniques with respect to recent learning-based…”
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Data-driven switching modeling for MPC using Regression Trees and Random Forests by Smarra, Francesco, Di Girolamo, Giovanni Domenico, De Iuliis, Vittorio, Jain, Achin, Mangharam, Rahul, D’Innocenzo, Alessandro

“…Model Predictive Control is a well consolidated technique to design optimal control strategies, leveraging the capability of a mathematical model to predict a…”
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Machine Learning for Model Predictive Control of Cascaded H-Bridge Inverters by Simonetti, Francesco, Di Girolamo, Giovanni Domenico, D'Innocenzo, Alessandro, Cecati, Carlo

“…Finite Control Set Model Predictive Control (MPC) is an effective control technique for Cascaded H-Bridge converters. However, its computational complexity…”
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