Francesco Smarra

Orcid: 0000-0002-2715-9447

According to our database1, Francesco Smarra authored at least 24 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Learning Piecewise ARX Models via Regression Trees with Probabilistic Guarantees.
Proceedings of the European Control Conference, 2024

2023
CADET: Control-Aware Dynamic Edge Computing for Real-Time Target Tracking in UAV Systems.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Modeling and Control of Priority Queueing in Software Defined Networks via Machine Learning.
IEEE Access, 2022

Data-driven efficient digital signal processing over a field trial space-division multiplexed fiber-optic transmission.
Proceedings of the 31st International Conference on Computer Communications and Networks, 2022

Machine Learning-based Approaches Comparison for Netfiix/DAZN Streaming and Real Traffic Prediction.
Proceedings of the IEEE Global Communications Conference, 2022

Reduced SARX modeling and control via Regression Trees.
Proceedings of the American Control Conference, 2022

An Edge-Based Machine Learning-Enabled Approach in Structural Health Monitoring for Public Protection.
Proceedings of the 2022 IEEE Future Networks World Forum, 2022

2021
Learning Markov models of fading channels in wireless control networks: a regression trees based approach.
Proceedings of the 29th Mediterranean Conference on Control and Automation, 2021

A Comparison of Classical Identification and Learning-Based Techniques for Cyber-Physical Systems.
Proceedings of the 29th Mediterranean Conference on Control and Automation, 2021

On the Stability of Switched ARX Models, with an Application to Learning via Regression Trees.
Proceedings of the 7th IFAC Conference on Analysis and Design of Hybrid Systems, 2021

2020
Learning Models for Seismic-Induced Vibrations Optimal Control in Structures via Random Forests.
J. Optim. Theory Appl., 2020

NeurOpt: Neural network based optimization for building energy management and climate control.
Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

Learning SDN traffic flow accurate models to enable queue bandwidth dynamic optimization.
Proceedings of the 2020 European Conference on Networks and Communications, 2020

An entropy-based sensor selection algorithm for structural damage detection.
Proceedings of the 16th IEEE International Conference on Automation Science and Engineering, 2020

2019
State of the art of cyber-physical systems security: An automatic control perspective.
J. Syst. Softw., 2019

2018
Data-Driven Model Predictive Control with Regression Trees - An Application to Building Energy Management.
ACM Trans. Cyber Phys. Syst., 2018

Data-driven Switched Affine Modeling for Model Predictive Control.
Proceedings of the 6th IFAC Conference on Analysis and Design of Hybrid Systems, 2018

2017
Data predictive control using regression trees and ensemble learning.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016
Resilient stabilization of Multi-Hop Control Networks subject to malicious attacks.
Autom., 2016

2015
Approximation methods for optimal network coding in a multi-hop control network with packet losses.
Proceedings of the 14th European Control Conference, 2015

Further results on fault detection and isolation of malicious nodes in Multi-hop Control Networks.
Proceedings of the 14th European Control Conference, 2015

2014
Fault-tolerant control of a wireless HVAC control system.
Proceedings of the 6th International Symposium on Communications, 2014

2013
Fault detection and isolation of malicious nodes in MIMO Multi-hop Control Networks.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

2012
Optimal co-design of control, scheduling and routing in multi-hop control networks.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012


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