Fabrizio Dabbene

ORCID

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 82

Top Venues

CoRR

IEEE Control. Syst. Lett.

CDC

IEEE Trans. Autom. Control.

Publications

Martina Mammarella, Cesare Donati, Fabrizio Dabbene, Carlo Novara, Constantino Lagoa
A blended physics-based and black-box identification approach for spacecraft inertia estimation - EXTENDED VERSION. CoRR (2024)
Teodoro Alamo, Martina Mammarella, Fabrizio Dabbene, Mario Sznaier
Tractable Approximations of LMI Robust Feasibility Sets. IEEE Control. Syst. Lett. 8 (2024)
Mirko Fiacchini, Martina Mammarella, Fabrizio Dabbene
Measured-state conditioned recursive feasibility for stochastic model predictive control. CoRR (2024)
Alberto Carlevaro, Teodoro Alamo, Fabrizio Dabbene, Maurizio Mongelli
Conformal predictions for probabilistically robust scalable machine learning classification. Mach. Learn. 113 (9) (2024)
Pierluigi Francesco De Paola, Alessandro Borri, Fabrizio Dabbene, Karim Keshavjee, Pasquale Palumbo, Alessia Paglialonga
A novel mathematical model for predicting the benefits of physical activity on type 2 diabetes progression. CoRR (2024)
Valentina Breschi, Chiara Ravazzi, Paolo Frasca, Fabrizio Dabbene, Mara Tanelli
Optimal policy design for decision problems under social influence. CoRR (2024)
Alberto Carlevaro, Teodoro Alamo Cantarero, Fabrizio Dabbene, Maurizio Mongelli
Conformal Predictions for Probabilistically Robust Scalable Machine Learning Classification. CoRR (2024)
Pierluigi Francesco De Paola, Alessia Paglialonga, Pasquale Palumbo, Karim Keshavjee, Fabrizio Dabbene, Alessandro Borri
The Long-Term Effects of Physical Activity on Blood Glucose Regulation: A Model to Unravel Diabetes Progression. IEEE Control. Syst. Lett. 7 (2023)
Alberto Carlevaro, Teodoro Alamo, Fabrizio Dabbene, Maurizio Mongelli
Probabilistic Safety Regions Via Finite Families of Scalable Classifiers. CoRR (2023)
Franco Blanchini, Fabrizio Dabbene, Gianfranco Fenu, Felice Andrea Pellegrino, Erica Salvato
Model-Free Feedback Control Synthesis From Expert Demonstration. IEEE Control. Syst. Lett. 7 (2023)
Martina Mammarella, Marco Giorgiutti, Fabrizio Dabbene
Robust control techniques for geostationary satellites with rotating solar arrays. CCTA (2023)
Cesare Donati, Martina Mammarella, Fabrizio Dabbene, Carlo Novara, Constantino Lagoa
One-shot backpropagation for multi-step prediction in physics-based system identification. CoRR (2023)
Gabriel O. Ferreira, Chiara Ravazzi, Fabrizio Dabbene, Giuseppe Carlo Calafiore, Marco Fiore
Forecasting Network Traffic: A Survey and Tutorial With Open-Source Comparative Evaluation. IEEE Access 11 (2023)
Sara Narteni, Marco Muselli, Fabrizio Dabbene, Maurizio Mongelli
Trustworthy artificial intelligence classification-based equivalent bandwidth control. Comput. Commun. 209 (2023)
Fabrizio Dabbene, Mark Cannon, Mohammadreza Chamanbaz, Alf Isaksson, Martina Mammarella, Davide M. Raimondo
Guest Editorial Special Issue on State-of-the-Art Applications of Model Predictive Control. IEEE Trans. Control. Syst. Technol. 31 (5) (2023)
Davide Simeone, Marta Lenatti, Constantino Lagoa, Karim Keshavjee, Aziz Guergachi, Fabrizio Dabbene, Alessia Paglialonga
Multi-Input Multi-Output Dynamic Modelling of Type 2 Diabetes Progression. EFMI-STC (2023)
Chiara Ravazzi, Francesco Bullo, Fabrizio Dabbene
Unveiling Oligarchy in Influence Networks From Partial Information. IEEE Trans. Control. Netw. Syst. 10 (3) (2023)
Sara Narteni, Alberto Carlevaro, Fabrizio Dabbene, Marco Muselli, Maurizio Mongelli
CONFIDERAI: CONFormal Interpretable-by-Design score function for Explainable and Reliable Artificial Intelligence. COPA (2023)
Alberto Carlevaro, Sara Narteni, Fabrizio Dabbene, Marco Muselli, Maurizio Mongelli
CONFIDERAI: a novel CONFormal Interpretable-by-Design score function for Explainable and Reliable Artificial Intelligence. CoRR (2023)
Cesare Donati, Martina Mammarella, Lorenzo Comba, Alessandro Biglia, Paolo Gay, Fabrizio Dabbene
3D Distance Filter for the Autonomous Navigation of UAVs in Agricultural Scenarios. Remote. Sens. 14 (6) (2022)
Martina Mammarella, Abdulelah Altamimi, Mohammadreza Chamanbaz, Fabrizio Dabbene, Constantino Lagoa
Fast Stochastic MPC Implementation via Policy Learning. IEEE Control. Syst. Lett. 6 (2022)
Victor Mirasierra, Martina Mammarella, Fabrizio Dabbene, Teodoro Alamo
Prediction Error Quantification Through Probabilistic Scaling. IEEE Control. Syst. Lett. 6 (2022)
Masaya Suenaga, Takumi Shimizu, Takeshi Hatanaka, Kuniaki Uto, Martina Mammarella, Fabrizio Dabbene
Experimental Study on Angle-aware Coverage Control with Application to 3-D Visual Map Reconstruction. CCTA (2022)
Pavel Shcherbakov, Fabrizio Dabbene
A probabilistic point of view on peak effects in linear difference equations. Eur. J. Control 63 (2022)
Valentina Breschi, Chiara Ravazzi, Silvia Carla Strada, Fabrizio Dabbene, Mara Tanelli
Fostering the Mass Adoption of Electric Vehicles: A Network-Based Approach. IEEE Trans. Control. Netw. Syst. 9 (4) (2022)
Chiara Ravazzi, Francesco Malandrino, Fabrizio Dabbene
Towards Proactive Moderation of Malicious Content via Bot Detection in Fringe Social Networks. IEEE Control. Syst. Lett. 6 (2022)
Takumi Shimizu, Shunya Yamashita, Takeshi Hatanaka, Kuniaki Uto, Martina Mammarella, Fabrizio Dabbene
Angle-Aware Coverage Control for 3-D Map Reconstruction With Drone Networks. IEEE Control. Syst. Lett. 6 (2022)
Massimo Bini, Paolo Frasca, Chiara Ravazzi, Fabrizio Dabbene
Graph Structure-Based Heuristics for Optimal Targeting in Social Networks. IEEE Trans. Control. Netw. Syst. 9 (3) (2022)
Martina Mammarella, Victor Mirasierra, Matthias Lorenzen, Teodoro Alamo, Fabrizio Dabbene
Chance-constrained sets approximation: A probabilistic scaling approach. Autom. 137 (2022)
Martina Mammarella, Cesare Donati, Takumi Shimizu, Masaya Suenaga, Lorenzo Comba, Alessandro Biglia, Kuniaki Uto, Takeshi Hatanaka, Paolo Gay, Fabrizio Dabbene
3D Map Reconstruction of an Orchard using an Angle-Aware Covering Control Strategy. CoRR (2022)
Martina Mammarella, Victor Mirasierra, Matthias Lorenzen, Teodoro Alamo, Fabrizio Dabbene
Chance constrained sets approximation: A probabilistic scaling approach - EXTENDED VERSION. CoRR (2021)
Francesco Ferrante, Fabrizio Dabbene, Chiara Ravazzi
On the Design of Structured Stabilizers for LTI Systems. CoRR (2021)
Valentina Breschi, Mara Tanelli, Chiara Ravazzi, Silvia Carla Strada, Fabrizio Dabbene
Designing Effective Policies to Drive the Adoption of Electric Vehicles: a Data-informed Approach. MED (2021)
Chiara Ravazzi, Sarah Hojjatinia, Constantino M. Lagoa, Fabrizio Dabbene
Ergodic Opinion Dynamics Over Networks: Learning Influences From Partial Observations. IEEE Trans. Autom. Control. 66 (6) (2021)
Victor Mirasierra, Martina Mammarella, Fabrizio Dabbene, Teodoro Alamo
Prediction error quantification through probabilistic scaling. CoRR (2021)
Massimo Bini, Paolo Frasca, Chiara Ravazzi, Fabrizio Dabbene
Graph structure based Heuristics for Optimal Targeting in Social Networks. CoRR (2021)
Chiara Ravazzi, Fabrizio Dabbene, Constantino Lagoa, Anton V. Proskurnikov
Learning hidden influences in large-scale dynamical social networks: A data-driven sparsity-based approach. CoRR (2020)
Valentina Breschi, Mara Tanelli, Chiara Ravazzi, Silvia Carla Strada, Fabrizio Dabbene
Social network analysis of electric vehicles adoption: a data-based approach. ICHMS (2020)
Mohammadreza Chamanbaz, Mario Sznaier, Constantino Lagoa, Fabrizio Dabbene
Probabilistic Discrete Time Robust H2 Controller Design. CDC (2020)
Valentina Breschi, Mara Tanelli, Chiara Ravazzi, Silvia Carla Strada, Fabrizio Dabbene
Social network analysis of electric vehicles adoption: a data-based approach. CoRR (2020)
Martina Mammarella, Matthias Lorenzen, Elisa Capello, Hyeongjun Park, Fabrizio Dabbene, Giorgio Guglieri, Marcello Romano, Frank Allgöwer
An Offline-Sampling SMPC Framework With Application to Autonomous Space Maneuvers. IEEE Trans. Control. Syst. Technol. 28 (2) (2020)
Martina Mammarella, Teodoro Alamo, Sergio Lucia, Fabrizio Dabbene
A probabilistic validation approach for penalty function design in Stochastic Model Predictive Control. CoRR (2020)
Martina Mammarella, Teodoro Alamo, Fabrizio Dabbene, Matthias Lorenzen
Computationally efficient stochastic MPC: a probabilistic scaling approach. CoRR (2020)
Martina Mammarella, Teodoro Alamo, Fabrizio Dabbene, Matthias Lorenzen
Computationally efficient stochastic MPC: a probabilistic scaling approach. CCTA (2020)
Francesco Ferrante, Fabrizio Dabbene, Chiara Ravazzi
On the Design of Structured Stabilizers for LTI Systems. IEEE Control. Syst. Lett. 4 (2) (2020)
Mohammadreza Chamanbaz, Fabrizio Dabbene, Roland Bouffanais
A Physics-Based Attack Detection Technique in Cyber-Physical Systems: A Model Predictive Control Co-Design Approach. CoRR (2019)
Mohammadreza Chamanbaz, Fabrizio Dabbene, Roland Bouffanais
A Physics-Based Attack Detection Technique in Cyber-Physical Systems: A Model Predictive Control Co-Design Approach. ANZCC (2019)
Antonio Longo, Chiara Ravazzi, Fabrizio Dabbene, Giuseppe Carlo Calafiore
Learning Political DNA in the Italian Senate. ECC (2019)
Mohammadreza Chamanbaz, Fabrizio Dabbene, Constantino M. Lagoa
Probabilistically Robust AC Optimal Power Flow. IEEE Trans. Control. Netw. Syst. 6 (3) (2019)
Sarah Hojjatinia, Constantino M. Lagoa, Fabrizio Dabbene
Identification of Switched Autoregressive and Switched Autoregressive Exogenous Systems from Large Noisy Data Sets. CoRR (2019)
Sarah Hojjatinia, Constantino M. Lagoa, Fabrizio Dabbene
Identification of Switched Autoregressive Systems from Large Noisy Data Sets. ACC (2019)
Angelo Coluccia, Fabrizio Dabbene, Chiara Ravazzi
Bayesian Identification of Distributed Vector AutoRegressive Processes. ECC (2019)
Izumi Masubuchi, Takayuki Wada, Yasumasa Fujisaki, Fabrizio Dabbene
A New Distributed Constrained Multi-Agent Optimization Protocol with Convergence Proof via Exactness of Penalized Objective Function. ASCC (2019)
Teodoro Alamo, Victor Mirasierra, Fabrizio Dabbene, Matthias Lorenzen
Safe approximations of chance constrained sets by probabilistic scaling. ECC (2019)
Chiara Ravazzi, Sarah Hojjatinia, Constantino M. Lagoa, Fabrizio Dabbene
Randomized opinion dynamics over networks: influence estimation from partial observations. CDC (2018)
Martina Mammarella, Elisa Capello, Fabrizio Dabbene, Giorgio Guglieri
Sample-Based SMPC for Tracking Control of Fixed-Wing UAV. IEEE Control. Syst. Lett. 2 (4) (2018)
Antonio Longo, Chiara Ravazzi, Fabrizio Dabbene, Giuseppe Carlo Calafiore
Learning Political DNA in the Italian Senate. CoRR (2018)
Martina Mammarella, Matthias Lorenzen, Elisa Capello, Hyeongjun Park, Fabrizio Dabbene, Frank Allgöwer, Giorgio Guglieri, Marcello Romano
An Offline-Sampling SMPC Framework with Application to Automated Space Maneuvers. CoRR (2018)
Martina Mammarella, Elisa Capello, Fabrizio Dabbene
Sample-based SMPC for tracking control of fixed-wing UAV: multi-scenario mapping. CoRR (2018)
Chiara Ravazzi, Sarah Hojjatinia, Constantino M. Lagoa, Fabrizio Dabbene
Randomized opinion dynamics over networks: influence estimation from partial observations. CoRR (2018)
Chiara Ravazzi, Roberto Tempo, Fabrizio Dabbene
Learning Influence Structure in Sparse Social Networks. IEEE Trans. Control. Netw. Syst. 5 (4) (2018)
Sarah Hojjatinia, Constantino M. Lagoa, Fabrizio Dabbene
Identification of Switched ARX Systems from Large Noisy Data Sets. CoRR (2018)
Anton V. Proskurnikov, Chiara Ravazzi, Fabrizio Dabbene
Dynamics and structure of social networks from a systems and control viewpoint: A survey of Roberto Tempo's contributions. Online Soc. Networks Media 7 (2018)
Mohammadreza Chamanbaz, Fabrizio Dabbene, Constantino Lagoa
Algorithms for Optimal AC Power Flow in the Presence of Renewable Sources. CoRR (2018)
Martina Mammarella, Elisa Capello, Matthias Lorenzen, Fabrizio Dabbene, Frank Allgöwer
A general sampling-based SMPC approach to spacecraft proximity operations. CDC (2017)
Simone Formentin, Fabrizio Dabbene, Roberto Tempo, Luca Zaccarian, Sergio M. Savaresi
Robust Linear Static Anti-Windup With Probabilistic Certificates. IEEE Trans. Autom. Control. 62 (4) (2017)
Fabrizio Dabbene, Didier Henrion, Constantino M. Lagoa
Simple approximations of semialgebraic sets and their applications to control. Autom. 78 (2017)
Chiara Ravazzi, Roberto Tempo, Fabrizio Dabbene
Influence estimation in sparse social networks. CDC (2017)
Wen-Xiao Zhao, Han-Fu Chen, Roberto Tempo, Fabrizio Dabbene
Recursive Nonparametric Identification of Nonlinear Systems With Adaptive Binary Sensors. IEEE Trans. Autom. Control. 62 (8) (2017)
Matthias Lorenzen, Fabrizio Dabbene, Roberto Tempo, Frank Allgöwer
Constraint-Tightening and Stability in Stochastic Model Predictive Control. IEEE Trans. Autom. Control. 62 (7) (2017)
Matthias Lorenzen, Fabrizio Dabbene, Roberto Tempo, Frank Allgöwer
Stochastic MPC with offline uncertainty sampling. Autom. 81 (2017)
Matthias Lorenzen, Fabrizio Dabbene, Roberto Tempo, Frank Allgöwer
Stochastic MPC with Offline Uncertainty Sampling. CoRR (2016)
Mohammadreza Chamanbaz, Fabrizio Dabbene, Roberto Tempo, Venkatakrishnan Venkataramanan, Qing-Guo Wang
Sequential Randomized Algorithms for Convex Optimization in the Presence of Uncertainty. IEEE Trans. Autom. Control. 61 (9) (2016)
Fabrizio Dabbene, Didier Henrion, Constantino M. Lagoa, Pavel S. Shcherbakov
Randomized Approximations of the Image Set of Nonlinear Mappings with Applications to Filtering. CoRR (2015)
Elisa Capello, Fabrizio Dabbene, Giorgio Guglieri, Elisabetta Punta, Roberto Tempo
Rendez-vous and docking position tracking via sliding mode control. ACC (2015)
Matthias Lorenzen, Frank Allgöwer, Fabrizio Dabbene, Roberto Tempo
An improved constraint-tightening approach for Stochastic MPC. ACC (2015)
Alessandro Nordio, Alberto Tarable, Fabrizio Dabbene, Roberto Tempo
Sensor Selection and Precoding Strategies for Wireless Sensor Networks. IEEE Trans. Signal Process. 63 (16) (2015)
Fabrizio Dabbene, Didier Henrion, Constantino Lagoa
Simple Approximations of Semialgebraic Sets and their Applications to Control. CoRR (2015)
Matthias Lorenzen, Fabrizio Dabbene, Roberto Tempo, Frank Allgöwer
Constraint-Tightening and Stability in Stochastic Model Predictive Control. CoRR (2015)
Matthias Lorenzen, Frank Allgöwer, Fabrizio Dabbene, Roberto Tempo
Scenario-based Stochastic MPC with guaranteed recursive feasibility. CDC (2015)
Simone Formentin, Fabrizio Dabbene, Roberto Tempo, Luca Zaccarian, Sergio M. Savaresi
Robust static anti-windup augmentation with probabilistic certificates. CoRR (2015)
Wen-Xiao Zhao, Han-Fu Chen, Roberto Tempo, Fabrizio Dabbene
Recursive identification of nonparametric nonlinear systems with binary-valued output observations. CDC (2015)
Diego Regruto, Fabrizio Dabbene, Daniel E. Rivera
Guest Editorial: Special Issue on Relaxation Methods in Identification and Estimation Problems. IEEE Trans. Autom. Control. 59 (11) (2014)
Matthias Lorenzen, Frank Allgöwer, Fabrizio Dabbene, Roberto Tempo
An Improved Constraint-Tightening Approach for Stochastic MPC. CoRR (2014)
Simone Formentin, Fabrizio Dabbene, Roberto Tempo, Luca Zaccarian, Sergio M. Savaresi
Scenario optimization with certificates and applications to anti-windup design. CDC (2014)
Mohammadreza Chamanbaz, Fabrizio Dabbene, Roberto Tempo, Venkatakrishnan Venkataramanan, Qing-Guo Wang
A statistical learning theory approach for uncertain linear and bilinear matrix inequalities. Autom. 50 (6) (2014)
Fabrizio Dabbene, Mario Sznaier, Roberto Tempo
Probabilistic Optimal Estimation With Uniformly Distributed Noise. IEEE Trans. Autom. Control. 59 (8) (2014)
Fabrizio Dabbene, Didier Henrion, Constantino Lagoa
Uniform sample generation in semialgebraic sets. CDC (2014)
Simone Formentin, Fabrizio Dabbene, Roberto Tempo, Luca Zaccarian, Sergio M. Savaresi
Scenario optimization with certificates and applications to anti-windup design. CoRR (2014)
Fabrizio Dabbene
Dealing with the curse of dimensionality in systems and control: The randomization paradigm. CDC (2014)
Mohammadreza Chamanbaz, Fabrizio Dabbene, Roberto Tempo, Venkatakrishnan Venkataramanan, Qing-Guo Wang
Sequential randomized algorithms for sampled convex optimization. CACSD (2013)
Simone Formentin, Sergio M. Savaresi, Luca Zaccarian, Fabrizio Dabbene
Randomized analysis and synthesis of robust linear static anti-windup. CDC (2013)
Mohammadreza Chamanbaz, Fabrizio Dabbene, Roberto Tempo, Venkatakrishnan Venkataramanan, Qing-Guo Wang
Sequential Randomized Algorithms for Convex Optimization in the Presence of Uncertainty CoRR (2013)
Alberto Tarable, Alessandro Nordio, Fabrizio Dabbene, Roberto Tempo
Anytime Reliable LDPC Convolutional Codes for Networked Control over Wireless Channel CoRR (2013)
Mohammadreza Chamanbaz, Fabrizio Dabbene, Roberto Tempo, Venkatakrishnan Venkataramanan, Qing-Guo Wang
A Statistical Learning Theory Approach for Uncertain Linear and Bilinear Matrix Inequalities CoRR (2013)
Yin Wang, Mario Sznaier, Fabrizio Dabbene
A convex optimization approach to worst-case optimal sensor selection. CDC (2013)
Mohammadreza Chamanbaz, Fabrizio Dabbene, Roberto Tempo, Venkatakrishnan Venkataramanan, Qing-Guo Wang
On the sample complexity of uncertain linear and bilinear matrix inequalities. CDC (2013)
Alberto Tarable, Alessandro Nordio, Fabrizio Dabbene, Roberto Tempo
Anytime reliable LDPC convolutional codes for networked control over wireless channel. ISIT (2013)
Fabrizio Dabbene, Didier Henrion
Set approximation via minimum-volume polynomial sublevel sets. ECC (2013)
Fabrizio Dabbene, Mario Sznaier, Roberto Tempo
A probabilistic approach to optimal estimation - Part II: algorithms and applications. CDC (2012)

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Publication Activity (10 Years)

Top Topics

Top Venues

Fabrizio Dabbene