| Data-driven model predictive control using random forests for building energy optimization and climate control F Smarra, A Jain, T De Rubeis, D Ambrosini, A D’Innocenzo, ... Applied energy 226, 1252-1272, 2018 | 287 | 2018 |
| State of the art of cyber-physical systems security: An automatic control perspective YZ Lun, A D’Innocenzo, F Smarra, I Malavolta, MD Di Benedetto Journal of Systems and Software 149, 174-216, 2019 | 181 | 2019 |
| DR-Advisor: A data-driven demand response recommender system M Behl, F Smarra, R Mangharam Applied Energy 170, 30-46, 2016 | 89 | 2016 |
| Data-driven model predictive control with regression trees—an application to building energy management A Jain, F Smarra, M Behl, R Mangharam ACM Transactions on Cyber-Physical Systems 2 (1), 1-21, 2018 | 63 | 2018 |
| Data-driven switching modeling for mpc using regression trees and random forests F Smarra, GD Di Girolamo, V De Iuliis, A Jain, R Mangharam, ... Nonlinear Analysis: Hybrid Systems 36, 100882, 2020 | 46 | 2020 |
| Data predictive control using regression trees and ensemble learning A Jain, F Smarra, R Mangharam Decision and Control (CDC), 2017 IEEE 56nd Annual Conference on, 2017 | 44 | 2017 |
| Resilient stabilization of multi-hop control networks subject to malicious attacks A D’Innocenzo, F Smarra, MD Di Benedetto Automatica 71, 1-9, 2016 | 40 | 2016 |
| Data-driven switched affine modeling for model predictive control F Smarra, A Jain, R Mangharam, A D’Innocenzo IFAC-PapersOnLine 51 (16), 199-204, 2018 | 37 | 2018 |
| NeurOpt: Neural network based optimization for building energy management and climate control A Jain, F Smarra, E Reticcioli, A D’Innocenzo, M Morari Learning for Dynamics and Control, 445-454, 2020 | 35 | 2020 |
| Data‐driven optimal predictive control of seismic induced vibrations in frame structures GD Di Girolamo, F Smarra, V Gattulli, F Potenza, F Graziosi, ... Structural Control and Health Monitoring 27 (4), e2514, 2020 | 28 | 2020 |
| Optimal co-design of control, scheduling and routing in multi-hop control networks F Smarra, A D'Innocenzo, MD Di Benedetto 2012 IEEE 51st IEEE Conference on Decision and Control (CDC), 1960-1965, 2012 | 25 | 2012 |
| Learning models for seismic-induced vibrations optimal control in structures via random forests F Smarra, GDD Girolamo, V Gattulli, F Graziosi, A D’Innocenzo Journal of Optimization Theory and Applications 187, 855-874, 2020 | 16 | 2020 |
| Approximation methods for optimal network coding in a multi-hop control network with packet losses F Smarra, A D'Innocenzo, MD Di Benedetto 2015 European Control Conference (ECC), 1962-1967, 2015 | 13 | 2015 |
| Fault tolerant stabilizability of MIMO multi-hop control networks F Smarra, A D'Innocenzo, MD Di Benedetto IFAC Proceedings Volumes 45 (26), 79-84, 2012 | 13 | 2012 |
| A comparison of classical identification and learning-based techniques for cyber-physical systems V De Iuliis, GD Di Girolamo, F Smarra, A D’Innocenzo 2021 29th Mediterranean conference on control and automation (MED), 179-185, 2021 | 11 | 2021 |
| An entropy-based sensor selection algorithm for structural damage detection J Tjen, F Smarra, A D’Innocenzo 2020 IEEE 16th International Conference on Automation Science and …, 2020 | 10 | 2020 |
| Fault detection and isolation of malicious nodes in mimo multi-hop control networks A D'Innocenzo, MD Di Benedetto, F Smarra 52nd IEEE conference on decision and control, 5276-5281, 2013 | 10 | 2013 |
| Learning methods for structural damage detection via entropy‐based sensors selection F Smarra, J Tjen, A D'Innocenzo International Journal of Robust and Nonlinear Control 32 (10), 6035-6067, 2022 | 9 | 2022 |
| On the stability of switched arx models, with an application to learning via regression trees V De Iuliis, F Smarra, C Manes, A D’Innocenzo IFAC-PapersOnLine 54 (5), 61-66, 2021 | 8 | 2021 |
| Learning affine predictors for MPC of nonlinear systems via artificial neural networks D Masti, F Smarra, A D’Innocenzo, A Bemporad IFAC-PapersOnLine 53 (2), 5233-5238, 2020 | 6 | 2020 |
Alessandro D'InnocenzoAssociate Professor in Automatic Control, University of L'AquilaBestätigte E-Mail-Adresse bei univaq.it
