Francesco Smarra

发表

Data-driven switching modeling for MPC using Regression Trees and Random Forests

Alessandro D'Innocenzo, Rahul Mangharam, Achin Jain, 2020 .

NeurOpt: Neural network based optimization for building energy management and climate control

Manfred Morari, Alessandro D'Innocenzo, Achin Jain, 2020, L4DC.

An entropy-based sensor selection algorithm for structural damage detection

Francesco Smarra, Jimmy Tjen, Alessandro D’Innocenzo, 2020, 2020 IEEE 16th International Conference on Automation Science and Engineering (CASE).

Approximation methods for optimal network coding in a multi-hop control network with packet losses

Maria Domenica Di Benedetto, Alessandro D'Innocenzo, Francesco Smarra, 2015, 2015 European Control Conference (ECC).

A Hardware-in-the-Loop Framework for Urban Mobility Scenarios within the 5G Trial in L’Aquila

Marco Pratesi, Elena Cinque, Francesco Valentini, 2020, 2020 XXXIIIrd General Assembly and Scientific Symposium of the International Union of Radio Science.

Optimal co-design of control, scheduling and routing in multi-hop control networks

Maria Domenica Di Benedetto, Alessandro D'Innocenzo, Francesco Smarra, 2012, 2012 IEEE 51st IEEE Conference on Decision and Control (CDC).

Data predictive control using regression trees and ensemble learning

Rahul Mangharam, Achin Jain, Francesco Smarra, 2017, 2017 IEEE 56th Annual Conference on Decision and Control (CDC).

Fault detection and isolation of malicious nodes in MIMO Multi-hop Control Networks

Maria Domenica Di Benedetto, Alessandro D'Innocenzo, Francesco Smarra, 2013, 52nd IEEE Conference on Decision and Control.

Efficient routing redundancy design over lossy networks

Maria Domenica Di Benedetto, Alessandro D'Innocenzo, Francesco Smarra, 2018 .

A sub-optimal method for routing redundancy design over lossy networks

M. D. Di Benedetto, Alessandro D'Innocenzo, Francesco Smarra, 2017 .

Resilient stabilization of Multi-Hop Control Networks subject to malicious attacks

Maria Domenica Di Benedetto, Alessandro D'Innocenzo, Francesco Smarra, 2016, Autom..

Learning lighting models for optimal control of lighting system via experimental and numerical approach

Dario Ambrosini, Domenica Paoletti, Alessandro D'Innocenzo, 2020 .

Data-Driven Model Predictive Control with Regression Trees—An Application to Building Energy Management

Rahul Mangharam, Madhur Behl, Achin Jain, 2018, ACM Trans. Cyber Phys. Syst..

Data‐driven optimal predictive control of seismic induced vibrations in frame structures

Vincenzo Gattulli, Francesco Potenza, Fabio Graziosi, 2020, Structural Control and Health Monitoring.

Fault-tolerant control of a wireless HVAC control system

Maria Domenica Di Benedetto, Alessandro D'Innocenzo, Francesco Smarra, 2014, 2014 6th International Symposium on Communications, Control and Signal Processing (ISCCSP).

Cyber-Physical Systems Security: a Systematic Mapping Study

Maria Domenica Di Benedetto, Alessandro D'Innocenzo, Ivano Malavolta, 2016, J. Syst. Softw..

Data-driven Switched Affine Modeling for Model Predictive Control

Alessandro D'Innocenzo, Rahul Mangharam, Achin Jain, 2018, ADHS.

Learning Models for Seismic-Induced Vibrations Optimal Control in Structures via Random Forests

Fabio Graziosi, Alessandro D'Innocenzo, Vincenzo Gattulli, 2020, Journal of Optimization Theory and Applications.

Further results on fault detection and isolation of malicious nodes in Multi-hop Control Networks

Maria Domenica Di Benedetto, Alessandro D'Innocenzo, Francesco Smarra, 2015, 2015 European Control Conference (ECC).

Learning SDN traffic flow accurate models to enable queue bandwidth dynamic optimization

Alessandro D'Innocenzo, F. Graziosi, Enrico Reticcioli, 2020, 2020 European Conference on Networks and Communications (EuCNC).

On the Stability of Switched ARX Models, with an Application to Learning via Regression Trees

Costanzo Manes, Alessandro D'Innocenzo, Francesco Smarra, 2021, ADHS.

Learning Markov models of fading channels in wireless control networks: a regression trees based approach

Alessandro D'Innocenzo, Francesco Smarra, Luis Felipe Florenzan Reyes, 2021, 2021 29th Mediterranean Conference on Control and Automation (MED).

A Comparison of Classical Identification and Learning-Based Techniques for Cyber-Physical Systems

Alessandro D'Innocenzo, Francesco Smarra, Vittorio De Iuliis, 2021, 2021 29th Mediterranean Conference on Control and Automation (MED).

Data-driven model predictive control using random forests for building energy optimization and climate control

Dario Ambrosini, Rahul Mangharam, Achin Jain, 2018, Applied Energy.