Fabrizio Dabbene

177 papers B 1C 10Journal 113Unranked 52

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A novel score function for conformal prediction in rule-based binary classification. Pattern Recognit. Sara Narteni, Alberto Carlevaro, Fabrizio Dabbene, Marco Muselli, Maurizio Mongelli
2026	J	`jnl`	Model Predictive Control for Coupled Adoption-Opinion Dynamics. CoRR Martina Alutto, Qiulin Xu, Fabrizio Dabbene, Hideaki Ishii, Chiara Ravazzi
2026	J	`jnl`	On a Coupled Adoption-Opinion Framework for Competing Innovations. CoRR Martina Alutto, Fabrizio Dabbene, Angela Fontan, Karl Henrik Johansson, Chiara Ravazzi
2026	J	`jnl`	Unraveling Urban Mobility: A Domain Knowledge-Free Trajectory Classification Using Gramian Angular Fields. IEEE Trans. Intell. Transp. Syst. Gabriel O. Ferreira, Fabrizio Dabbene, Francesco Malandrino, Chiara Ravazzi
2025	J	`jnl`	A Model-based Approach for Glucose Control via Physical Activity. CoRR Pierluigi Francesco De Paola, Alessandro Borri, Alessia Paglialonga, Pasquale Palumbo, Fabrizio Dabbene
2025	J	`jnl`	A control system framework for counterfactuals: an optimization based approach. CoRR Pierluigi Francesco De Paola, Jared Miller, Alessandro Borri, Alessia Paglialonga, Fabrizio Dabbene
2025	J	`jnl`	A kernel-based approach to physics-informed nonlinear system identification. CoRR Cesare Donati, Martina Mammarella, Giuseppe Carlo Calafiore, Fabrizio Dabbene, Constantino Lagoa, Carlo Novara
2025	J	`jnl`	Closed-loop robust control of long-term diabetes progression via physical activity management. CoRR Pierluigi Francesco De Paola, Alessandro Borri, Fabrizio Dabbene, Pasquale Palumbo, Alessia Paglialonga
2025	J	`jnl`	Combining off-white and sparse black models in multi-step physics-based systems identification. Autom. Cesare Donati, Martina Mammarella, Fabrizio Dabbene, Carlo Novara, Constantino M. Lagoa
2025	J	`jnl`	Exact characterization of ε-Safe Decision Regions for exponential family distributions and Multi Cost SVM approximation. CoRR Alberto Carlevaro, Teodoro Alamo, Fabrizio Dabbene, Maurizio Mongelli
2025	J	`jnl`	Identification of contractive Lur'e-type systems via kernel-based Lipschitz design. CoRR Cesare Donati, Fabrizio Dabbene, Constantino Lagoa, Carlo Novara, Yoshio Ebihara
2025	J	`jnl`	Innovation Diffusion Dynamics Toward Long-Term Behavioral Shifts. IEEE Control. Syst. Lett. Lisa Piccinin, Valentina Breschi, Chiara Ravazzi, Fabrizio Dabbene, Mara Tanelli
2025	J	`jnl`	Innovation diffusion dynamics toward long-term behavioral shifts. CoRR Lisa Piccinin, Valentina Breschi, Chiara Ravazzi, Fabrizio Dabbene, Mara Tanelli
2025	J	`jnl`	Long-Term Diabetes Prevention via Physical Activity: An Output-Feedback MPC Approach. IEEE Control. Syst. Lett. Pierluigi Francesco De Paola, Alessandro Borri, Alessia Paglialonga, Fabrizio Dabbene, Pasquale Palumbo
2025	—	`conf`	MPC-based motion planning for non-holonomic systems in non-convex domains. ECC Matthias Lorenzen, Teodoro Alamo, Martina Mammarella, Fabrizio Dabbene
2025	J	`jnl`	MPC-based motion planning for non-holonomic systems in non-convex domains. CoRR Matthias Lorenzen, Teodoro Alamo, Martina Mammarella, Fabrizio Dabbene
2025	—	`conf`	Model Predictive Control for Coupled Adoption-Opinion Dynamics. CDC Martina Alutto, Qiulin Xu, Fabrizio Dabbene, Hideaki Ishii, Chiara Ravazzi
2025	J	`jnl`	Modeling and Control of Sustainable Transitions through Opinion-Behavior Coupling in Heterogeneous Networks. CoRR Martina Alutto, Sofia Bellotti, Fabrizio Dabbene, Chiara Ravazzi
2025	J	`jnl`	Modeling the cumulative benefits of regular physical activity on type 2 diabetes progression. Comput. Biol. Medicine Pierluigi Francesco De Paola, Alessandro Borri, Fabrizio Dabbene, Karim Keshavjee, Pasquale Palumbo, Alessia Paglialonga
2025	J	`jnl`	Optimal Policy Design for Repeated Decision-Making under Social Influence. CoRR Chiara Ravazzi, Valentina Breschi, Paolo Frasca, Fabrizio Dabbene, Mara Tanelli
2025	J	`jnl`	Optimal policy design for innovation diffusion: shaping today's incentives for transforming the future. CoRR Lisa Piccinin, Valentina Breschi, Chiara Ravazzi, Fabrizio Dabbene, Mara Tanelli
2025	J	`jnl`	Power Minimization and Resource Allocation in HetNets With Uncertain Channel Gains. IEEE Commun. Lett. Gabriel O. Ferreira, Chiara Ravazzi, Fabrizio Dabbene, Giuseppe Carlo Calafiore
2025	J	`jnl`	Probabilistic Safety Regions via Finite Families of Adjustable Classifiers. IEEE Trans. Neural Networks Learn. Syst. Alberto Carlevaro, Teodoro Alamo, Fabrizio Dabbene, Maurizio Mongelli
2025	J	`jnl`	Recovering nonlinear dynamics from non-uniform observations: A physics-based identification approach with practical case studies. CoRR Cesare Donati, Martina Mammarella, Fabrizio Dabbene, Carlo Novara, Constantino Lagoa
2025	J	`jnl`	Recursive feasibility for stochastic MPC and the rationale behind fixing flat tires. CoRR Mirko Fiacchini, Martina Mammarella, Fabrizio Dabbene
2025	J	`jnl`	Sampling methods for multi-stage robust optimization problems. Ann. Oper. Res. Francesca Maggioni, Fabrizio Dabbene, Georg Ch. Pflug
2024	J	`jnl`	A Joint Optimization Approach for Power-Efficient Heterogeneous OFDMA Radio Access Networks. IEEE J. Sel. Areas Commun. Gabriel O. Ferreira, André Felipe Zanella, Stefanos Bakirtzis, Chiara Ravazzi, Fabrizio Dabbene, Giuseppe Carlo Calafiore, Ian James Wassell, Jie Zhang, Marco Fiore
2024	J	`jnl`	A blended physics-based and black-box identification approach for spacecraft inertia estimation - EXTENDED VERSION. CoRR Martina Mammarella, Cesare Donati, Fabrizio Dabbene, Carlo Novara, Constantino Lagoa
2024	—	`conf`	A blended physics-based and black-box identification approach for spacecraft inertia estimation. CDC Martina Mammarella, Cesare Donati, Fabrizio Dabbene, Carlo Novara, Constantino Lagoa
2024	J	`jnl`	A novel mathematical model for predicting the benefits of physical activity on type 2 diabetes progression. CoRR Pierluigi Francesco De Paola, Alessandro Borri, Fabrizio Dabbene, Karim Keshavjee, Pasquale Palumbo, Alessia Paglialonga
2024	—	`conf`	A probabilistic scaling approach to conformal predictions in binary image classification. COPA Alberto Carlevaro, Sara Narteni, Fabrizio Dabbene, Teodoro Alamo, Maurizio Mongelli
2024	—	`conf`	AI-CARE: Artificial Intelligence for Customized Adaptive Robot-Aided Rehabilitation. HFR Rita Molle, Christian Tamantini, Alessia Paglialonga, Davide Simeone, Leonardo Furia, Matteo Tortora, Clemente Lauretti, Giulio Iannello, Paolo Soda, Rosa Sicilia, Fabrizio Dabbene, Loredana Zollo
2024	J	`jnl`	Conformal Predictions for Probabilistically Robust Scalable Machine Learning Classification. CoRR Alberto Carlevaro, Teodoro Alamo Cantarero, Fabrizio Dabbene, Maurizio Mongelli
2024	J	`jnl`	Conformal predictions for probabilistically robust scalable machine learning classification. Mach. Learn. Alberto Carlevaro, Teodoro Alamo, Fabrizio Dabbene, Maurizio Mongelli
2024	J	`jnl`	First-order methods and automatic differentiation: A multi-step systems identification perspective. CoRR Cesare Donati, Martina Mammarella, Fabrizio Dabbene, Carlo Novara, Constantino Lagoa
2024	—	`conf`	Impulsive thrust collision avoidance for long-term space encounters. CDC Matthieu Masson, Christian Artigues, Denis Arzelier, Fabrizio Dabbene, Mioara Joldes, Martina Mammarella, Federica Paganelli Azza
2024	J	`jnl`	Measured-state conditioned recursive feasibility for stochastic model predictive control. CoRR Mirko Fiacchini, Martina Mammarella, Fabrizio Dabbene
2024	J	`jnl`	Optimal policy design for decision problems under social influence. CoRR Valentina Breschi, Chiara Ravazzi, Paolo Frasca, Fabrizio Dabbene, Mara Tanelli
2024	—	`conf`	Polynomial approximation of regions of attraction via occupation measures: an application to a biological autonomous system. CASE Pierluigi Francesco De Paola, Alessandro Borri, Alessia Paglialonga, Pasquale Palumbo, Fabrizio Dabbene
2024	J	`jnl`	Tractable Approximations of LMI Robust Feasibility Sets. IEEE Control. Syst. Lett. Teodoro Alamo, Martina Mammarella, Fabrizio Dabbene, Mario Sznaier
2023	—	`conf`	CONFIDERAI: CONFormal Interpretable-by-Design score function for Explainable and Reliable Artificial Intelligence. COPA Sara Narteni, Alberto Carlevaro, Fabrizio Dabbene, Marco Muselli, Maurizio Mongelli
2023	J	`jnl`	CONFIDERAI: a novel CONFormal Interpretable-by-Design score function for Explainable and Reliable Artificial Intelligence. CoRR Alberto Carlevaro, Sara Narteni, Fabrizio Dabbene, Marco Muselli, Maurizio Mongelli
2023	J	`jnl`	Forecasting Network Traffic: A Survey and Tutorial With Open-Source Comparative Evaluation. IEEE Access Gabriel O. Ferreira, Chiara Ravazzi, Fabrizio Dabbene, Giuseppe Carlo Calafiore, Marco Fiore
2023	J	`jnl`	Guest Editorial Special Issue on State-of-the-Art Applications of Model Predictive Control. IEEE Trans. Control. Syst. Technol. Fabrizio Dabbene, Mark Cannon, Mohammadreza Chamanbaz, Alf J. Isaksson, Martina Mammarella, Davide M. Raimondo
2023	J	`jnl`	Model-Free Feedback Control Synthesis From Expert Demonstration. IEEE Control. Syst. Lett. Franco Blanchini, Fabrizio Dabbene, Gianfranco Fenu, Felice Andrea Pellegrino, Erica Salvato
2023	—	`conf`	Multi-Input Multi-Output Dynamic Modelling of Type 2 Diabetes Progression. EFMI-STC Davide Simeone, Marta Lenatti, Constantino Lagoa, Karim Keshavjee, Aziz Guergachi, Fabrizio Dabbene, Alessia Paglialonga
2023	J	`jnl`	One-shot backpropagation for multi-step prediction in physics-based system identification. CoRR Cesare Donati, Martina Mammarella, Fabrizio Dabbene, Carlo Novara, Constantino Lagoa
2023	J	`jnl`	Probabilistic Safety Regions Via Finite Families of Scalable Classifiers. CoRR Alberto Carlevaro, Teodoro Alamo, Fabrizio Dabbene, Maurizio Mongelli
2023	—	`conf`	Robust control techniques for geostationary satellites with rotating solar arrays. CCTA Martina Mammarella, Marco Giorgiutti, Fabrizio Dabbene
2023	J	`jnl`	The Long-Term Effects of Physical Activity on Blood Glucose Regulation: A Model to Unravel Diabetes Progression. IEEE Control. Syst. Lett. Pierluigi Francesco De Paola, Alessia Paglialonga, Pasquale Palumbo, Karim Keshavjee, Fabrizio Dabbene, Alessandro Borri
2023	J	`jnl`	Trustworthy artificial intelligence classification-based equivalent bandwidth control. Comput. Commun. Sara Narteni, Marco Muselli, Fabrizio Dabbene, Maurizio Mongelli
2023	J	`jnl`	Unveiling Oligarchy in Influence Networks From Partial Information. IEEE Trans. Control. Netw. Syst. Chiara Ravazzi, Francesco Bullo, Fabrizio Dabbene
2022	J	`jnl`	3D Distance Filter for the Autonomous Navigation of UAVs in Agricultural Scenarios. Remote. Sens. Cesare Donati, Martina Mammarella, Lorenzo Comba, Alessandro Biglia, Paolo Gay, Fabrizio Dabbene
2022	J	`jnl`	3D Map Reconstruction of an Orchard using an Angle-Aware Covering Control Strategy. CoRR Martina Mammarella, Cesare Donati, Takumi Shimizu, Masaya Suenaga, Lorenzo Comba, Alessandro Biglia, Kuniaki Uto, Takeshi Hatanaka, Paolo Gay, Fabrizio Dabbene
2022	J	`jnl`	A probabilistic point of view on peak effects in linear difference equations. Eur. J. Control Pavel Shcherbakov, Fabrizio Dabbene
2022	J	`jnl`	Angle-Aware Coverage Control for 3-D Map Reconstruction With Drone Networks. IEEE Control. Syst. Lett. Takumi Shimizu, Shunya Yamashita, Takeshi Hatanaka, Kuniaki Uto, Martina Mammarella, Fabrizio Dabbene
2022	J	`jnl`	Chance-constrained sets approximation: A probabilistic scaling approach. Autom. Martina Mammarella, Victor Mirasierra, Matthias Lorenzen, Teodoro Alamo, Fabrizio Dabbene
2022	—	`conf`	Experimental Study on Angle-aware Coverage Control with Application to 3-D Visual Map Reconstruction. CCTA Masaya Suenaga, Takumi Shimizu, Takeshi Hatanaka, Kuniaki Uto, Martina Mammarella, Fabrizio Dabbene
2022	J	`jnl`	Fast Stochastic MPC Implementation via Policy Learning. IEEE Control. Syst. Lett. Martina Mammarella, Abdulelah Altamimi, Mohammadreza Chamanbaz, Fabrizio Dabbene, Constantino Lagoa
2022	J	`jnl`	Fostering the Mass Adoption of Electric Vehicles: A Network-Based Approach. IEEE Trans. Control. Netw. Syst. Valentina Breschi, Chiara Ravazzi, Silvia Carla Strada, Fabrizio Dabbene, Mara Tanelli
2022	J	`jnl`	Graph Structure-Based Heuristics for Optimal Targeting in Social Networks. IEEE Trans. Control. Netw. Syst. Massimo Bini, Paolo Frasca, Chiara Ravazzi, Fabrizio Dabbene
2022	J	`jnl`	Prediction Error Quantification Through Probabilistic Scaling. IEEE Control. Syst. Lett. Victor Mirasierra, Martina Mammarella, Fabrizio Dabbene, Teodoro Alamo
2022	J	`jnl`	Towards Proactive Moderation of Malicious Content via Bot Detection in Fringe Social Networks. IEEE Control. Syst. Lett. Chiara Ravazzi, Francesco Malandrino, Fabrizio Dabbene
2021	J	`jnl`	Chance constrained sets approximation: A probabilistic scaling approach - EXTENDED VERSION. CoRR Martina Mammarella, Victor Mirasierra, Matthias Lorenzen, Teodoro Alamo, Fabrizio Dabbene
2021	—	`conf`	Designing Effective Policies to Drive the Adoption of Electric Vehicles: a Data-informed Approach. MED Valentina Breschi, Mara Tanelli, Chiara Ravazzi, Silvia Carla Strada, Fabrizio Dabbene
2021	J	`jnl`	Ergodic Opinion Dynamics Over Networks: Learning Influences From Partial Observations. IEEE Trans. Autom. Control. Chiara Ravazzi, Sarah Hojjatinia, Constantino M. Lagoa, Fabrizio Dabbene
2021	J	`jnl`	Graph structure based Heuristics for Optimal Targeting in Social Networks. CoRR Massimo Bini, Paolo Frasca, Chiara Ravazzi, Fabrizio Dabbene
2021	J	`jnl`	On the Design of Structured Stabilizers for LTI Systems. CoRR Francesco Ferrante, Fabrizio Dabbene, Chiara Ravazzi
2021	J	`jnl`	Prediction error quantification through probabilistic scaling. CoRR Victor Mirasierra, Martina Mammarella, Fabrizio Dabbene, Teodoro Alamo
2020	J	`jnl`	A probabilistic validation approach for penalty function design in Stochastic Model Predictive Control. CoRR Martina Mammarella, Teodoro Alamo, Sergio Lucia, Fabrizio Dabbene
2020	J	`jnl`	An Offline-Sampling SMPC Framework With Application to Autonomous Space Maneuvers. IEEE Trans. Control. Syst. Technol. Martina Mammarella, Matthias Lorenzen, Elisa Capello, Hyeongjun Park, Fabrizio Dabbene, Giorgio Guglieri, Marcello Romano, Frank Allgöwer
2020	—	`conf`	Computationally efficient stochastic MPC: a probabilistic scaling approach. CCTA Martina Mammarella, Teodoro Alamo, Fabrizio Dabbene, Matthias Lorenzen
2020	J	`jnl`	Computationally efficient stochastic MPC: a probabilistic scaling approach. CoRR Martina Mammarella, Teodoro Alamo, Fabrizio Dabbene, Matthias Lorenzen
2020	J	`jnl`	Learning hidden influences in large-scale dynamical social networks: A data-driven sparsity-based approach. CoRR Chiara Ravazzi, Fabrizio Dabbene, Constantino Lagoa, Anton V. Proskurnikov
2020	J	`jnl`	On the Design of Structured Stabilizers for LTI Systems. IEEE Control. Syst. Lett. Francesco Ferrante, Fabrizio Dabbene, Chiara Ravazzi
2020	—	`conf`	Probabilistic Discrete Time Robust H2 Controller Design. CDC Mohammadreza Chamanbaz, Mario Sznaier, Constantino Lagoa, Fabrizio Dabbene
2020	—	`conf`	Social network analysis of electric vehicles adoption: a data-based approach. ICHMS Valentina Breschi, Mara Tanelli, Chiara Ravazzi, Silvia Carla Strada, Fabrizio Dabbene
2020	J	`jnl`	Social network analysis of electric vehicles adoption: a data-based approach. CoRR Valentina Breschi, Mara Tanelli, Chiara Ravazzi, Silvia Carla Strada, Fabrizio Dabbene
2019	—	`conf`	A New Distributed Constrained Multi-Agent Optimization Protocol with Convergence Proof via Exactness of Penalized Objective Function. ASCC Izumi Masubuchi, Takayuki Wada, Yasumasa Fujisaki, Fabrizio Dabbene
2019	—	`conf`	A Physics-Based Attack Detection Technique in Cyber-Physical Systems: A Model Predictive Control Co-Design Approach. ANZCC Mohammadreza Chamanbaz, Fabrizio Dabbene, Roland Bouffanais
2019	J	`jnl`	A Physics-Based Attack Detection Technique in Cyber-Physical Systems: A Model Predictive Control Co-Design Approach. CoRR Mohammadreza Chamanbaz, Fabrizio Dabbene, Roland Bouffanais
2019	—	`conf`	Bayesian Identification of Distributed Vector AutoRegressive Processes. ECC Angelo Coluccia, Fabrizio Dabbene, Chiara Ravazzi
2019	C	`conf`	Identification of Switched Autoregressive Systems from Large Noisy Data Sets. ACC Sarah Hojjatinia, Constantino M. Lagoa, Fabrizio Dabbene
2019	J	`jnl`	Identification of Switched Autoregressive and Switched Autoregressive Exogenous Systems from Large Noisy Data Sets. CoRR Sarah Hojjatinia, Constantino M. Lagoa, Fabrizio Dabbene
2019	—	`conf`	Learning Political DNA in the Italian Senate. ECC Antonio Longo, Chiara Ravazzi, Fabrizio Dabbene, Giuseppe Carlo Calafiore
2019	J	`jnl`	Probabilistically Robust AC Optimal Power Flow. IEEE Trans. Control. Netw. Syst. Mohammadreza Chamanbaz, Fabrizio Dabbene, Constantino M. Lagoa
2019	—	`conf`	Safe approximations of chance constrained sets by probabilistic scaling. ECC Teodoro Alamo, Victor Mirasierra, Fabrizio Dabbene, Matthias Lorenzen
2018	J	`jnl`	Algorithms for Optimal AC Power Flow in the Presence of Renewable Sources. CoRR Mohammadreza Chamanbaz, Fabrizio Dabbene, Constantino Lagoa
2018	J	`jnl`	An Offline-Sampling SMPC Framework with Application to Automated Space Maneuvers. CoRR Martina Mammarella, Matthias Lorenzen, Elisa Capello, Hyeongjun Park, Fabrizio Dabbene, Frank Allgöwer, Giorgio Guglieri, Marcello Romano
2018	J	`jnl`	Dynamics and structure of social networks from a systems and control viewpoint: A survey of Roberto Tempo's contributions. Online Soc. Networks Media Anton V. Proskurnikov, Chiara Ravazzi, Fabrizio Dabbene
2018	J	`jnl`	Identification of Switched ARX Systems from Large Noisy Data Sets. CoRR Sarah Hojjatinia, Constantino M. Lagoa, Fabrizio Dabbene
2018	J	`jnl`	Learning Influence Structure in Sparse Social Networks. IEEE Trans. Control. Netw. Syst. Chiara Ravazzi, Roberto Tempo, Fabrizio Dabbene
2018	J	`jnl`	Learning Political DNA in the Italian Senate. CoRR Antonio Longo, Chiara Ravazzi, Fabrizio Dabbene, Giuseppe Carlo Calafiore
2018	—	`conf`	Randomized opinion dynamics over networks: influence estimation from partial observations. CDC Chiara Ravazzi, Sarah Hojjatinia, Constantino M. Lagoa, Fabrizio Dabbene
2018	J	`jnl`	Randomized opinion dynamics over networks: influence estimation from partial observations. CoRR Chiara Ravazzi, Sarah Hojjatinia, Constantino M. Lagoa, Fabrizio Dabbene
2018	J	`jnl`	Sample-Based SMPC for Tracking Control of Fixed-Wing UAV. IEEE Control. Syst. Lett. Martina Mammarella, Elisa Capello, Fabrizio Dabbene, Giorgio Guglieri
2018	J	`jnl`	Sample-based SMPC for tracking control of fixed-wing UAV: multi-scenario mapping. CoRR Martina Mammarella, Elisa Capello, Fabrizio Dabbene
2017	—	`conf`	A general sampling-based SMPC approach to spacecraft proximity operations. CDC Martina Mammarella, Elisa Capello, Matthias Lorenzen, Fabrizio Dabbene, Frank Allgöwer
2017	J	`jnl`	Constraint-Tightening and Stability in Stochastic Model Predictive Control. IEEE Trans. Autom. Control. Matthias Lorenzen, Fabrizio Dabbene, Roberto Tempo, Frank Allgöwer
2017	—	`conf`	Influence estimation in sparse social networks. CDC Chiara Ravazzi, Roberto Tempo, Fabrizio Dabbene
2017	J	`jnl`	Recursive Nonparametric Identification of Nonlinear Systems With Adaptive Binary Sensors. IEEE Trans. Autom. Control. Wen-Xiao Zhao, Han-Fu Chen, Roberto Tempo, Fabrizio Dabbene
2017	J	`jnl`	Robust Linear Static Anti-Windup With Probabilistic Certificates. IEEE Trans. Autom. Control. Simone Formentin, Fabrizio Dabbene, Roberto Tempo, Luca Zaccarian, Sergio M. Savaresi
2017	J	`jnl`	Simple approximations of semialgebraic sets and their applications to control. Autom. Fabrizio Dabbene, Didier Henrion, Constantino M. Lagoa
2017	J	`jnl`	Stochastic MPC with offline uncertainty sampling. Autom. Matthias Lorenzen, Fabrizio Dabbene, Roberto Tempo, Frank Allgöwer
2016	J	`jnl`	Sequential Randomized Algorithms for Convex Optimization in the Presence of Uncertainty. IEEE Trans. Autom. Control. Mohammadreza Chamanbaz, Fabrizio Dabbene, Roberto Tempo, Venkatakrishnan Venkataramanan, Qing-Guo Wang
2016	J	`jnl`	Stochastic MPC with Offline Uncertainty Sampling. CoRR Matthias Lorenzen, Fabrizio Dabbene, Roberto Tempo, Frank Allgöwer
2015	C	`conf`	An improved constraint-tightening approach for Stochastic MPC. ACC Matthias Lorenzen, Frank Allgöwer, Fabrizio Dabbene, Roberto Tempo
2015	J	`jnl`	Constraint-Tightening and Stability in Stochastic Model Predictive Control. CoRR Matthias Lorenzen, Fabrizio Dabbene, Roberto Tempo, Frank Allgöwer
2015	J	`jnl`	Randomized Approximations of the Image Set of Nonlinear Mappings with Applications to Filtering. CoRR Fabrizio Dabbene, Didier Henrion, Constantino M. Lagoa, Pavel S. Shcherbakov
2015	—	`ch.`	Randomized Methods for Control of Uncertain Systems. Encyclopedia of Systems and Control Fabrizio Dabbene, Roberto Tempo
2015	—	`conf`	Recursive identification of nonparametric nonlinear systems with binary-valued output observations. CDC Wen-Xiao Zhao, Han-Fu Chen, Roberto Tempo, Fabrizio Dabbene
2015	C	`conf`	Rendez-vous and docking position tracking via sliding mode control. ACC Elisa Capello, Fabrizio Dabbene, Giorgio Guglieri, Elisabetta Punta, Roberto Tempo
2015	J	`jnl`	Robust static anti-windup augmentation with probabilistic certificates. CoRR Simone Formentin, Fabrizio Dabbene, Roberto Tempo, Luca Zaccarian, Sergio M. Savaresi
2015	—	`conf`	Scenario-based Stochastic MPC with guaranteed recursive feasibility. CDC Matthias Lorenzen, Frank Allgöwer, Fabrizio Dabbene, Roberto Tempo
2015	J	`jnl`	Sensor Selection and Precoding Strategies for Wireless Sensor Networks. IEEE Trans. Signal Process. Alessandro Nordio, Alberto Tarable, Fabrizio Dabbene, Roberto Tempo
2015	J	`jnl`	Simple Approximations of Semialgebraic Sets and their Applications to Control. CoRR Fabrizio Dabbene, Didier Henrion, Constantino Lagoa
2014	J	`jnl`	A statistical learning theory approach for uncertain linear and bilinear matrix inequalities. Autom. Mohammadreza Chamanbaz, Fabrizio Dabbene, Roberto Tempo, Venkatakrishnan Venkataramanan, Qing-Guo Wang
2014	J	`jnl`	An Improved Constraint-Tightening Approach for Stochastic MPC. CoRR Matthias Lorenzen, Frank Allgöwer, Fabrizio Dabbene, Roberto Tempo
2014	—	`conf`	Dealing with the curse of dimensionality in systems and control: The randomization paradigm. CDC Fabrizio Dabbene
2014	J	`jnl`	Guest Editorial: Special Issue on Relaxation Methods in Identification and Estimation Problems. IEEE Trans. Autom. Control. Diego Regruto, Fabrizio Dabbene, Daniel E. Rivera
2014	J	`jnl`	Probabilistic Optimal Estimation With Uniformly Distributed Noise. IEEE Trans. Autom. Control. Fabrizio Dabbene, Mario Sznaier, Roberto Tempo
2014	—	`conf`	Scenario optimization with certificates and applications to anti-windup design. CDC Simone Formentin, Fabrizio Dabbene, Roberto Tempo, Luca Zaccarian, Sergio M. Savaresi
2014	J	`jnl`	Scenario optimization with certificates and applications to anti-windup design. CoRR Simone Formentin, Fabrizio Dabbene, Roberto Tempo, Luca Zaccarian, Sergio M. Savaresi
2014	—	`conf`	Uniform sample generation in semialgebraic sets. CDC Fabrizio Dabbene, Didier Henrion, Constantino Lagoa
2013	J	`jnl`	A Statistical Learning Theory Approach for Uncertain Linear and Bilinear Matrix Inequalities CoRR Mohammadreza Chamanbaz, Fabrizio Dabbene, Roberto Tempo, Venkatakrishnan Venkataramanan, Qing-Guo Wang
2013	—	`conf`	A convex optimization approach to worst-case optimal sensor selection. CDC Yin Wang, Mario Sznaier, Fabrizio Dabbene
2013	J	`jnl`	Anytime Reliable LDPC Convolutional Codes for Networked Control over Wireless Channel CoRR Alberto Tarable, Alessandro Nordio, Fabrizio Dabbene, Roberto Tempo
2013	B	`conf`	Anytime reliable LDPC convolutional codes for networked control over wireless channel. ISIT Alberto Tarable, Alessandro Nordio, Fabrizio Dabbene, Roberto Tempo
2013	—	`conf`	On the sample complexity of uncertain linear and bilinear matrix inequalities. CDC Mohammadreza Chamanbaz, Fabrizio Dabbene, Roberto Tempo, Venkatakrishnan Venkataramanan, Qing-Guo Wang
2013	—	`conf`	Randomized analysis and synthesis of robust linear static anti-windup. CDC Simone Formentin, Sergio M. Savaresi, Luca Zaccarian, Fabrizio Dabbene
2013	J	`jnl`	Sequential Randomized Algorithms for Convex Optimization in the Presence of Uncertainty CoRR Mohammadreza Chamanbaz, Fabrizio Dabbene, Roberto Tempo, Venkatakrishnan Venkataramanan, Qing-Guo Wang
2013	—	`conf`	Sequential randomized algorithms for sampled convex optimization. CACSD Mohammadreza Chamanbaz, Fabrizio Dabbene, Roberto Tempo, Venkatakrishnan Venkataramanan, Qing-Guo Wang
2013	—	`conf`	Set approximation via minimum-volume polynomial sublevel sets. ECC Fabrizio Dabbene, Didier Henrion
2012	—	`conf`	A probabilistic approach to optimal estimation - Part II: algorithms and applications. CDC Fabrizio Dabbene, Mario Sznaier, Roberto Tempo
2012	—	`conf`	A probabilistic approach to optimal estimation part I: Problem formulation and methodology. CDC Fabrizio Dabbene, Mario Sznaier, Roberto Tempo
2012	J	`jnl`	Probabilistic Optimal Estimation and Filtering under Uncertainty CoRR Fabrizio Dabbene, Mario Sznaier, Roberto Tempo
2011	J	`jnl`	A Kinship Function Approach to Robust and Probabilistic Optimization Under Polynomial Uncertainty. IEEE Trans. Autom. Control. Chao Feng, Fabrizio Dabbene, Constantino M. Lagoa
2011	J	`jnl`	On the Generation of Random Stable Polynomials. Eur. J. Control Pavel S. Shcherbakov, Fabrizio Dabbene
2011	J	`jnl`	Research on probabilistic methods for control system design. Autom. Giuseppe Carlo Calafiore, Fabrizio Dabbene, Roberto Tempo
2010	J	`jnl`	A Randomized Cutting Plane Method with Probabilistic Geometric Convergence. SIAM J. Optim. Fabrizio Dabbene, Pavel S. Shcherbakov, Boris T. Polyak
2010	—	`conf`	On the complexity of randomized approximations of nonconvex sets. CACSD Fabrizio Dabbene, Constantino Lagoa, Pavel S. Shcherbakov
2009	—	`conf`	Distributed randomized PageRank computation based on web aggregation. CDC Hideaki Ishii, Roberto Tempo, Er-Wei Bai, Fabrizio Dabbene
2009	J	`jnl`	On Positivity of Polynomials: The Dilation Integral Method. IEEE Trans. Autom. Control. B. Ross Barmish, Pavel S. Shcherbakov, Sheila R. Ross, Fabrizio Dabbene
2009	—	`conf`	On random generation of stable polynomials. CCA/ISIC Pavel S. Shcherbakov, Fabrizio Dabbene
2009	C	`conf`	Robust and chance-constrained optimization under polynomial uncertainty. ACC Fabrizio Dabbene, Chao Feng, Constantino M. Lagoa
2008	—	`conf`	A randomized cutting plane scheme for convex optimization. CACSD Fabrizio Dabbene
2008	—	`conf`	A randomized cutting plane scheme with geometric convergence: Probabilistic analysis and SDP applications. CDC Fabrizio Dabbene, Pavel S. Shcherbakov, Boris T. Polyak
2008	J	`jnl`	Hard Bounds on the Probability of Performance With Application to Circuit Analysis. IEEE Trans. Circuits Syst. I Regul. Pap. Constantino M. Lagoa, Fabrizio Dabbene, Roberto Tempo
2008	—	`conf`	RACT - Randomized Algorithms Control Toolbox: A Tutorial Introduction. ISIC Fabrizio Dabbene, Constantino Lagoa, Pavel S. Shcherbakov, Andrey A. Tremba
2007	J	`jnl`	A probabilistic analytic center cutting plane method for feasibility of uncertain LMIs. Autom. Giuseppe Carlo Calafiore, Fabrizio Dabbene
2007	J	`jnl`	A survey of randomized algorithms for control synthesis and performance verification. J. Complex. Giuseppe Carlo Calafiore, Fabrizio Dabbene, Roberto Tempo
2007	C	`conf`	Exact Solution of Uncertain Convex Optimization Problems. ACC Fabrizio Dabbene
2007	C	`conf`	Fast Computation of Dilation Integrals for Robustness Analysis. ACC Fabrizio Dabbene, Pavel Shcherbakov
2007	C	`conf`	Observer Design with Guaranteed RMS Gain for Linear Parameter Varying Jump Systems. ACC Giuseppe Carlo Calafiore, Fabrizio Dabbene
2007	J	`jnl`	On the complete instability of interval polynomials. Syst. Control. Lett. Fabrizio Dabbene, Boris T. Polyak, Roberto Tempo
2007	C	`conf`	Probabilistic Robust Control. ACC Giuseppe Carlo Calafiore, Fabrizio Dabbene
2007	—	`conf`	Robust LMIs with polynomial dependence on the uncertainty. CDC Fabrizio Dabbene, Chao Feng, Constantino Lagoa
2006	—	`conf`	An Iterative Localization Method for Probabilistic Feasibility of Uncertain LMIs. CDC Giuseppe Carlo Calafiore, Fabrizio Dabbene
2006	—	`conf`	Computing Hard Bounds for Probabilistic Robustness. CDC Fabrizio Dabbene, C. Laagoa, Roberto Tempo
2006	—	`conf`	On the Complete Instability of Interval Polynomials. CDC Fabrizio Dabbene, Boris T. Polyak, Roberto Tempo
2005	—	`conf`	Average and Worst-Case Techniques in Convex Optimization with Stochastic Uncertainty. CDC/ECC Giuseppe Carlo Calafiore, Fabrizio Dabbene
2005	J	`jnl`	LPV approximation of distributed parameter systems in environmental modelling. Environ. Model. Softw. Gustavo Belforte, Fabrizio Dabbene, Paolo Gay
2005	J	`jnl`	Near optimal solutions to least-squares problems with stochastic uncertainty. Syst. Control. Lett. Giuseppe Carlo Calafiore, Fabrizio Dabbene
2005	—	`conf`	Optimization of fresh -food supply chains in uncertain environments: an application to the meat-refrigeration process. CDC/ECC Fabrizio Dabbene, Paolo Gay, Nicola Sacco, Cristina Tortia
2004	J	`jnl`	Optimal control, an introduction: Arturo Locatelli, Birkhäuser, London, Basel, 2000, ISBN 3-7643-6408-4. Autom. Fabrizio Dabbene
2003	C	`conf`	Near optimal stochastic solutions to uncertain least square problems. ACC Giuseppe Carlo Calafiore, Fabrizio Dabbene
2003	J	`jnl`	Probabilistic design of LPV control systems. Autom. Yasumasa Fujisaki, Fabrizio Dabbene, Roberto Tempo
2003	—	`conf`	Randomized algorithms in robust control. CDC Giuseppe Calafiore, Fabrizio Dabbene, Roberto Tempo
2003	J	`jnl`	Recursive algorithms for inner ellipsoidal approximation of convex polytopes. Autom. Fabrizio Dabbene, Paolo Gay, Boris T. Polyak
2002	J	`jnl`	A probabilistic framework for problems with real structured uncertainty in systems and control. Autom. Giuseppe Carlo Calafiore, Fabrizio Dabbene
2002	—	`conf`	Randomization in ℛ CDC Giuseppe Calafiore, Fabrizio Dabbene
2001	—	`conf`	Loop gain under random feedback. CDC Giuseppe Calafiore, Fabrizio Dabbene
2001	—	`conf`	Probabilistic robust design of LPV control systems. CDC Yasumasa Fujisaki, Fabrizio Dabbene, Roberto Tempo
2000	—	`conf`	Inner ellipsoidal approximation of membership set: a fast recursive algorithm. CDC Fabrizio Dabbene, Paolo Gay, Boris T. Polyak
2000	J	`jnl`	Randomized algorithms for probabilistic robustness with real and complex structured uncertainty. IEEE Trans. Autom. Control. Giuseppe Carlo Calafiore, Fabrizio Dabbene, Roberto Tempo
2000	C	`conf`	Randomized algorithms for reduced order H ACC Giuseppe Calafiore, Fabrizio Dabbene, Roberto Tempo
1998	J	`jnl`	Computation of the minimum destabilizing volume for interval and affine families of polynomials. IEEE Trans. Autom. Control. Franco Blanchini, Roberto Tempo, Fabrizio Dabbene