Computation of the minimum destabilizing volume for interval and affine families of polynomials. - Franco Blanchini; Roberto Tempo; Fabrizio Dabbene (IEEE Trans. Autom. Control., 1998)

Randomized algorithms for reduced order H∞ controller design. - Giuseppe Calafiore; Fabrizio Dabbene; Roberto Tempo (ACC, 2000)

Inner ellipsoidal approximation of membership set: a fast recursive algorithm. - Fabrizio Dabbene; Paolo Gay; Boris T. Polyak (CDC, 2000)

Randomized algorithms for probabilistic robustness with real and complex structured uncertainty. - Giuseppe Carlo Calafiore; Fabrizio Dabbene; Roberto Tempo (IEEE Trans. Autom. Control., 2000)

Loop gain under random feedback. - Giuseppe Calafiore; Fabrizio Dabbene (CDC, 2001)

Probabilistic robust design of LPV control systems. - Yasumasa Fujisaki; Fabrizio Dabbene; Roberto Tempo (CDC, 2001)

Randomization in ℛH∞: an approach to control design with hard/soft performance specifications. - Giuseppe Calafiore; Fabrizio Dabbene (CDC, 2002)

A probabilistic framework for problems with real structured uncertainty in systems and control. - Giuseppe Carlo Calafiore; Fabrizio Dabbene (Autom., 2002)

Near optimal stochastic solutions to uncertain least square problems. - Giuseppe Carlo Calafiore; Fabrizio Dabbene (ACC, 2003)

Randomized algorithms in robust control. - Giuseppe Calafiore; Fabrizio Dabbene; Roberto Tempo (CDC, 2003)

Recursive algorithms for inner ellipsoidal approximation of convex polytopes. - Fabrizio Dabbene; Paolo Gay; Boris T. Polyak (Autom., 2003)

Probabilistic design of LPV control systems. - Yasumasa Fujisaki; Fabrizio Dabbene; Roberto Tempo (Autom., 2003)

Optimal control, an introduction: Arturo Locatelli, Birkhäuser, London, Basel, 2000, ISBN 3-7643-6408-4. - Fabrizio Dabbene (Autom., 2004)

Average and Worst-Case Techniques in Convex Optimization with Stochastic Uncertainty. - Giuseppe Carlo Calafiore; Fabrizio Dabbene (CDC/ECC, 2005)

Optimization of fresh -food supply chains in uncertain environments: an application to the meat-refrigeration process. - Fabrizio Dabbene; Paolo Gay; Nicola Sacco; Cristina Tortia (CDC/ECC, 2005)

LPV approximation of distributed parameter systems in environmental modelling. - Gustavo Belforte; Fabrizio Dabbene; Paolo Gay (Environ. Model. Softw., 2005)

Near optimal solutions to least-squares problems with stochastic uncertainty. - Giuseppe Carlo Calafiore; Fabrizio Dabbene (Syst. Control. Lett., 2005)

An Iterative Localization Method for Probabilistic Feasibility of Uncertain LMIs. - Giuseppe Carlo Calafiore; Fabrizio Dabbene (CDC, 2006)

Computing Hard Bounds for Probabilistic Robustness. - Fabrizio Dabbene; C. Laagoa; Roberto Tempo (CDC, 2006)

Probabilistic Robust Control. - Giuseppe Carlo Calafiore; Fabrizio Dabbene (ACC, 2007)

Observer Design with Guaranteed RMS Gain for Linear Parameter Varying Jump Systems. - Giuseppe Carlo Calafiore; Fabrizio Dabbene (ACC, 2007)

Fast Computation of Dilation Integrals for Robustness Analysis. - Fabrizio Dabbene; Pavel Shcherbakov 001 (ACC, 2007)

Exact Solution of Uncertain Convex Optimization Problems. - Fabrizio Dabbene (ACC, 2007)

Robust LMIs with polynomial dependence on the uncertainty. - Fabrizio Dabbene; Chao Feng 005; Constantino Lagoa (CDC, 2007)

A probabilistic analytic center cutting plane method for feasibility of uncertain LMIs. - Giuseppe Carlo Calafiore; Fabrizio Dabbene (Autom., 2007)

A survey of randomized algorithms for control synthesis and performance verification. - Giuseppe Carlo Calafiore; Fabrizio Dabbene; Roberto Tempo (J. Complex., 2007)

On the complete instability of interval polynomials. - Fabrizio Dabbene; Boris T. Polyak; Roberto Tempo (Syst. Control. Lett., 2007)

RACT - Randomized Algorithms Control Toolbox: A Tutorial Introduction. - Fabrizio Dabbene; Constantino Lagoa; Pavel S. Shcherbakov 001; Andrey A. Tremba (ISIC, 2008)

A randomized cutting plane scheme for convex optimization. - Fabrizio Dabbene (CACSD, 2008)

A randomized cutting plane scheme with geometric convergence: Probabilistic analysis and SDP applications. - Fabrizio Dabbene; Pavel S. Shcherbakov 001; Boris T. Polyak (CDC, 2008)

Hard Bounds on the Probability of Performance With Application to Circuit Analysis. - Constantino M. Lagoa; Fabrizio Dabbene; Roberto Tempo (IEEE Trans. Circuits Syst. I Regul. Pap., 2008)

On random generation of stable polynomials. - Pavel S. Shcherbakov 001; Fabrizio Dabbene (CCA/ISIC, 2009)

Robust and chance-constrained optimization under polynomial uncertainty. - Fabrizio Dabbene; Chao Feng 005; Constantino M. Lagoa (ACC, 2009)

Distributed randomized PageRank computation based on web aggregation. - Hideaki Ishii; Roberto Tempo; Er-Wei Bai; Fabrizio Dabbene (CDC, 2009)

On Positivity of Polynomials: The Dilation Integral Method. - B. Ross Barmish; Pavel S. Shcherbakov 001; Sheila R. Ross; Fabrizio Dabbene (IEEE Trans. Autom. Control., 2009)

On the complexity of randomized approximations of nonconvex sets. - Fabrizio Dabbene; Constantino Lagoa; Pavel S. Shcherbakov 001 (CACSD, 2010)

A Randomized Cutting Plane Method with Probabilistic Geometric Convergence. - Fabrizio Dabbene; Pavel S. Shcherbakov 001; Boris T. Polyak (SIAM J. Optim., 2010)

Research on probabilistic methods for control system design. - Giuseppe Carlo Calafiore; Fabrizio Dabbene; Roberto Tempo (Autom., 2011)

On the Generation of Random Stable Polynomials. - Pavel S. Shcherbakov 001; Fabrizio Dabbene (Eur. J. Control, 2011)

A Kinship Function Approach to Robust and Probabilistic Optimization Under Polynomial Uncertainty. - Chao Feng 005; Fabrizio Dabbene; Constantino M. Lagoa (IEEE Trans. Autom. Control., 2011)

A probabilistic approach to optimal estimation part I: Problem formulation and methodology. - Fabrizio Dabbene; Mario Sznaier; Roberto Tempo (CDC, 2012)

A probabilistic approach to optimal estimation - Part II: algorithms and applications. - Fabrizio Dabbene; Mario Sznaier; Roberto Tempo (CDC, 2012)

Probabilistic Optimal Estimation and Filtering under Uncertainty - Fabrizio Dabbene; Mario Sznaier; Roberto Tempo (CoRR, 2012)

Sequential randomized algorithms for sampled convex optimization. - Mohammadreza Chamanbaz; Fabrizio Dabbene; Roberto Tempo; Venkatakrishnan Venkataramanan; Qing-Guo Wang (CACSD, 2013)

On the sample complexity of uncertain linear and bilinear matrix inequalities. - Mohammadreza Chamanbaz; Fabrizio Dabbene; Roberto Tempo; Venkatakrishnan Venkataramanan; Qing-Guo Wang (CDC, 2013)

Randomized analysis and synthesis of robust linear static anti-windup. - Simone Formentin; Sergio M. Savaresi; Luca Zaccarian; Fabrizio Dabbene (CDC, 2013)

A convex optimization approach to worst-case optimal sensor selection. - Yin Wang; Mario Sznaier; Fabrizio Dabbene (CDC, 2013)

Set approximation via minimum-volume polynomial sublevel sets. - Fabrizio Dabbene; Didier Henrion (ECC, 2013)

Anytime reliable LDPC convolutional codes for networked control over wireless channel. - Alberto Tarable; Alessandro Nordio; Fabrizio Dabbene; Roberto Tempo (ISIT, 2013)

Dealing with the curse of dimensionality in systems and control: The randomization paradigm. - Fabrizio Dabbene (CDC, 2014)

Uniform sample generation in semialgebraic sets. - Fabrizio Dabbene; Didier Henrion; Constantino Lagoa (CDC, 2014)

Scenario optimization with certificates and applications to anti-windup design. - Simone Formentin; Fabrizio Dabbene; Roberto Tempo; Luca Zaccarian; Sergio M. Savaresi (CDC, 2014)

A statistical learning theory approach for uncertain linear and bilinear matrix inequalities. - Mohammadreza Chamanbaz; Fabrizio Dabbene; Roberto Tempo; Venkatakrishnan Venkataramanan; Qing-Guo Wang (Autom., 2014)

Probabilistic Optimal Estimation With Uniformly Distributed Noise. - Fabrizio Dabbene; Mario Sznaier; Roberto Tempo (IEEE Trans. Autom. Control., 2014)

Guest Editorial: Special Issue on Relaxation Methods in Identification and Estimation Problems. - Diego Regruto; Fabrizio Dabbene; Daniel E. Rivera (IEEE Trans. Autom. Control., 2014)

Rendez-vous and docking position tracking via sliding mode control. - Elisa Capello; Fabrizio Dabbene; Giorgio Guglieri; Elisabetta Punta; Roberto Tempo (ACC, 2015)

An improved constraint-tightening approach for Stochastic MPC. - Matthias Lorenzen; Frank Allgöwer; Fabrizio Dabbene; Roberto Tempo (ACC, 2015)

Scenario-based Stochastic MPC with guaranteed recursive feasibility. - Matthias Lorenzen; Frank Allgöwer; Fabrizio Dabbene; Roberto Tempo (CDC, 2015)

Recursive identification of nonparametric nonlinear systems with binary-valued output observations. - Wen-Xiao Zhao; Han-Fu Chen; Roberto Tempo; Fabrizio Dabbene (CDC, 2015)

Randomized Approximations of the Image Set of Nonlinear Mappings with Applications to Filtering. - Fabrizio Dabbene; Didier Henrion; Constantino M. Lagoa; Pavel S. Shcherbakov 001 (CoRR, 2015)

Robust static anti-windup augmentation with probabilistic certificates. - Simone Formentin; Fabrizio Dabbene; Roberto Tempo; Luca Zaccarian; Sergio M. Savaresi (CoRR, 2015)

Sensor Selection and Precoding Strategies for Wireless Sensor Networks. - Alessandro Nordio; Alberto Tarable; Fabrizio Dabbene; Roberto Tempo (IEEE Trans. Signal Process., 2015)

Randomized Methods for Control of Uncertain Systems. - Fabrizio Dabbene; Roberto Tempo (Encyclopedia of Systems and Control, 2015)

Sequential Randomized Algorithms for Convex Optimization in the Presence of Uncertainty. - Mohammadreza Chamanbaz; Fabrizio Dabbene; Roberto Tempo; Venkatakrishnan Venkataramanan; Qing-Guo Wang (IEEE Trans. Autom. Control., 2016)

A general sampling-based SMPC approach to spacecraft proximity operations. - Martina Mammarella; Elisa Capello; Matthias Lorenzen; Fabrizio Dabbene; Frank Allgöwer (CDC, 2017)

Influence estimation in sparse social networks. - Chiara Ravazzi; Roberto Tempo; Fabrizio Dabbene (CDC, 2017)

Simple approximations of semialgebraic sets and their applications to control. - Fabrizio Dabbene; Didier Henrion; Constantino M. Lagoa (Autom., 2017)

Stochastic MPC with offline uncertainty sampling. - Matthias Lorenzen; Fabrizio Dabbene; Roberto Tempo; Frank Allgöwer (Autom., 2017)

Robust Linear Static Anti-Windup With Probabilistic Certificates. - Simone Formentin; Fabrizio Dabbene; Roberto Tempo; Luca Zaccarian; Sergio M. Savaresi (IEEE Trans. Autom. Control., 2017)

Constraint-Tightening and Stability in Stochastic Model Predictive Control. - Matthias Lorenzen; Fabrizio Dabbene; Roberto Tempo; Frank Allgöwer (IEEE Trans. Autom. Control., 2017)

Recursive Nonparametric Identification of Nonlinear Systems With Adaptive Binary Sensors. - Wen-Xiao Zhao; Han-Fu Chen; Roberto Tempo; Fabrizio Dabbene (IEEE Trans. Autom. Control., 2017)

Randomized opinion dynamics over networks: influence estimation from partial observations. - Chiara Ravazzi; Sarah Hojjatinia; Constantino M. Lagoa; Fabrizio Dabbene (CDC, 2018)

An Offline-Sampling SMPC Framework with Application to Automated Space Maneuvers. - Martina Mammarella; Matthias Lorenzen; Elisa Capello; Hyeongjun Park; Fabrizio Dabbene; Frank Allgöwer; Giorgio Guglieri; Marcello Romano (CoRR, 2018)

Identification of Switched ARX Systems from Large Noisy Data Sets. - Sarah Hojjatinia; Constantino M. Lagoa; Fabrizio Dabbene (CoRR, 2018)

Sample-based SMPC for tracking control of fixed-wing UAV: multi-scenario mapping. - Martina Mammarella; Elisa Capello; Fabrizio Dabbene (CoRR, 2018)

Algorithms for Optimal AC Power Flow in the Presence of Renewable Sources. - Mohammadreza Chamanbaz; Fabrizio Dabbene; Constantino Lagoa (CoRR, 2018)

Sample-Based SMPC for Tracking Control of Fixed-Wing UAV. - Martina Mammarella; Elisa Capello; Fabrizio Dabbene; Giorgio Guglieri (IEEE Control. Syst. Lett., 2018)

Dynamics and structure of social networks from a systems and control viewpoint: A survey of Roberto Tempo's contributions. - Anton V. Proskurnikov; Chiara Ravazzi; Fabrizio Dabbene (Online Soc. Networks Media, 2018)

Learning Influence Structure in Sparse Social Networks. - Chiara Ravazzi; Roberto Tempo; Fabrizio Dabbene (IEEE Trans. Control. Netw. Syst., 2018)

Identification of Switched Autoregressive Systems from Large Noisy Data Sets. - Sarah Hojjatinia; Constantino M. Lagoa; Fabrizio Dabbene (ACC, 2019)

A Physics-Based Attack Detection Technique in Cyber-Physical Systems: A Model Predictive Control Co-Design Approach. - Mohammadreza Chamanbaz; Fabrizio Dabbene; Roland Bouffanais (ANZCC, 2019)

A New Distributed Constrained Multi-Agent Optimization Protocol with Convergence Proof via Exactness of Penalized Objective Function. - Izumi Masubuchi; Takayuki Wada; Yasumasa Fujisaki; Fabrizio Dabbene (ASCC, 2019)

Safe approximations of chance constrained sets by probabilistic scaling. - Teodoro Alamo; Victor Mirasierra; Fabrizio Dabbene; Matthias Lorenzen (ECC, 2019)

Bayesian Identification of Distributed Vector AutoRegressive Processes. - Angelo Coluccia; Fabrizio Dabbene; Chiara Ravazzi (ECC, 2019)

Learning Political DNA in the Italian Senate. - Antonio Longo; Chiara Ravazzi; Fabrizio Dabbene; Giuseppe Carlo Calafiore (ECC, 2019)

Identification of Switched Autoregressive and Switched Autoregressive Exogenous Systems from Large Noisy Data Sets. - Sarah Hojjatinia; Constantino M. Lagoa; Fabrizio Dabbene (CoRR, 2019)

Probabilistically Robust AC Optimal Power Flow. - Mohammadreza Chamanbaz; Fabrizio Dabbene; Constantino M. Lagoa (IEEE Trans. Control. Netw. Syst., 2019)

Computationally efficient stochastic MPC: a probabilistic scaling approach. - Martina Mammarella; Teodoro Alamo; Fabrizio Dabbene; Matthias Lorenzen (CCTA, 2020)

Probabilistic Discrete Time Robust H2 Controller Design. - Mohammadreza Chamanbaz; Mario Sznaier; Constantino Lagoa; Fabrizio Dabbene (CDC, 2020)

Social network analysis of electric vehicles adoption: a data-based approach. - Valentina Breschi; Mara Tanelli; Chiara Ravazzi; Silvia Carla Strada; Fabrizio Dabbene (ICHMS, 2020)

A probabilistic validation approach for penalty function design in Stochastic Model Predictive Control. - Martina Mammarella; Teodoro Alamo; Sergio Lucia; Fabrizio Dabbene (CoRR, 2020)

Learning hidden influences in large-scale dynamical social networks: A data-driven sparsity-based approach. - Chiara Ravazzi; Fabrizio Dabbene; Constantino Lagoa; Anton V. Proskurnikov (CoRR, 2020)

On the Design of Structured Stabilizers for LTI Systems. - Francesco Ferrante; Fabrizio Dabbene; Chiara Ravazzi (IEEE Control. Syst. Lett., 2020)

An Offline-Sampling SMPC Framework With Application to Autonomous Space Maneuvers. - Martina Mammarella; Matthias Lorenzen; Elisa Capello; Hyeongjun Park; Fabrizio Dabbene; Giorgio Guglieri; Marcello Romano; Frank Allgöwer (IEEE Trans. Control. Syst. Technol., 2020)

Designing Effective Policies to Drive the Adoption of Electric Vehicles: a Data-informed Approach. - Valentina Breschi; Mara Tanelli; Chiara Ravazzi; Silvia Carla Strada; Fabrizio Dabbene (MED, 2021)

Chance constrained sets approximation: A probabilistic scaling approach - EXTENDED VERSION. - Martina Mammarella; Victor Mirasierra; Matthias Lorenzen; Teodoro Alamo; Fabrizio Dabbene (CoRR, 2021)

Ergodic Opinion Dynamics Over Networks: Learning Influences From Partial Observations. - Chiara Ravazzi; Sarah Hojjatinia; Constantino M. Lagoa; Fabrizio Dabbene (IEEE Trans. Autom. Control., 2021)

Experimental Study on Angle-aware Coverage Control with Application to 3-D Visual Map Reconstruction. - Masaya Suenaga; Takumi Shimizu; Takeshi Hatanaka; Kuniaki Uto; Martina Mammarella; Fabrizio Dabbene (CCTA, 2022)

Chance-constrained sets approximation: A probabilistic scaling approach. - Martina Mammarella; Victor Mirasierra; Matthias Lorenzen; Teodoro Alamo; Fabrizio Dabbene (Autom., 2022)

3D Map Reconstruction of an Orchard using an Angle-Aware Covering Control Strategy. - Martina Mammarella; Cesare Donati; Takumi Shimizu; Masaya Suenaga; Lorenzo Comba; Alessandro Biglia; Kuniaki Uto; Takeshi Hatanaka; Paolo Gay; Fabrizio Dabbene (CoRR, 2022)

Fast Stochastic MPC Implementation via Policy Learning. - Martina Mammarella; Abdulelah Altamimi; Mohammadreza Chamanbaz; Fabrizio Dabbene; Constantino Lagoa (IEEE Control. Syst. Lett., 2022)

Prediction Error Quantification Through Probabilistic Scaling. - Victor Mirasierra; Martina Mammarella; Fabrizio Dabbene; Teodoro Alamo (IEEE Control. Syst. Lett., 2022)

Towards Proactive Moderation of Malicious Content via Bot Detection in Fringe Social Networks. - Chiara Ravazzi; Francesco Malandrino; Fabrizio Dabbene (IEEE Control. Syst. Lett., 2022)

Angle-Aware Coverage Control for 3-D Map Reconstruction With Drone Networks. - Takumi Shimizu; Shunya Yamashita; Takeshi Hatanaka; Kuniaki Uto; Martina Mammarella; Fabrizio Dabbene (IEEE Control. Syst. Lett., 2022)

A probabilistic point of view on peak effects in linear difference equations. - Pavel Shcherbakov 001; Fabrizio Dabbene (Eur. J. Control, 2022)

3D Distance Filter for the Autonomous Navigation of UAVs in Agricultural Scenarios. - Cesare Donati; Martina Mammarella; Lorenzo Comba; Alessandro Biglia; Paolo Gay; Fabrizio Dabbene (Remote. Sens., 2022)

Graph Structure-Based Heuristics for Optimal Targeting in Social Networks. - Massimo Bini; Paolo Frasca; Chiara Ravazzi; Fabrizio Dabbene (IEEE Trans. Control. Netw. Syst., 2022)

Fostering the Mass Adoption of Electric Vehicles: A Network-Based Approach. - Valentina Breschi; Chiara Ravazzi; Silvia Carla Strada; Fabrizio Dabbene; Mara Tanelli (IEEE Trans. Control. Netw. Syst., 2022)

Robust control techniques for geostationary satellites with rotating solar arrays. - Martina Mammarella; Marco Giorgiutti; Fabrizio Dabbene (CCTA, 2023)

CONFIDERAI: CONFormal Interpretable-by-Design score function for Explainable and Reliable Artificial Intelligence. - Sara Narteni; Alberto Carlevaro; Fabrizio Dabbene; Marco Muselli; Maurizio Mongelli (COPA, 2023)

Multi-Input Multi-Output Dynamic Modelling of Type 2 Diabetes Progression. - Davide Simeone; Marta Lenatti; Constantino Lagoa; Karim Keshavjee; Aziz Guergachi; Fabrizio Dabbene; Alessia Paglialonga (EFMI-STC, 2023)

Forecasting Network Traffic: A Survey and Tutorial With Open-Source Comparative Evaluation. - Gabriel O. Ferreira; Chiara Ravazzi; Fabrizio Dabbene; Giuseppe Carlo Calafiore; Marco Fiore 001 (IEEE Access, 2023)

CONFIDERAI: a novel CONFormal Interpretable-by-Design score function for Explainable and Reliable Artificial Intelligence. - Alberto Carlevaro; Sara Narteni; Fabrizio Dabbene; Marco Muselli; Maurizio Mongelli (CoRR, 2023)

Probabilistic Safety Regions Via Finite Families of Scalable Classifiers. - Alberto Carlevaro; Teodoro Alamo; Fabrizio Dabbene; Maurizio Mongelli (CoRR, 2023)

One-shot backpropagation for multi-step prediction in physics-based system identification. - Cesare Donati; Martina Mammarella; Fabrizio Dabbene; Carlo Novara; Constantino Lagoa (CoRR, 2023)

Model-Free Feedback Control Synthesis From Expert Demonstration. - Franco Blanchini; Fabrizio Dabbene; Gianfranco Fenu; Felice Andrea Pellegrino; Erica Salvato (IEEE Control. Syst. Lett., 2023)

The Long-Term Effects of Physical Activity on Blood Glucose Regulation: A Model to Unravel Diabetes Progression. - Pierluigi Francesco De Paola; Alessia Paglialonga; Pasquale Palumbo; Karim Keshavjee; Fabrizio Dabbene; Alessandro Borri (IEEE Control. Syst. Lett., 2023)

Trustworthy artificial intelligence classification-based equivalent bandwidth control. - Sara Narteni; Marco Muselli; Fabrizio Dabbene; Maurizio Mongelli (Comput. Commun., 2023)

Unveiling Oligarchy in Influence Networks From Partial Information. - Chiara Ravazzi; Francesco Bullo; Fabrizio Dabbene (IEEE Trans. Control. Netw. Syst., 2023)

Guest Editorial Special Issue on State-of-the-Art Applications of Model Predictive Control. - Fabrizio Dabbene; Mark Cannon; Mohammadreza Chamanbaz; Alf J. Isaksson; Martina Mammarella; Davide M. Raimondo (IEEE Trans. Control. Syst. Technol., 2023)

Polynomial approximation of regions of attraction via occupation measures: an application to a biological autonomous system. - Pierluigi Francesco De Paola; Alessandro Borri; Alessia Paglialonga; Pasquale Palumbo; Fabrizio Dabbene (CASE, 2024)

A blended physics-based and black-box identification approach for spacecraft inertia estimation. - Martina Mammarella; Cesare Donati; Fabrizio Dabbene; Carlo Novara; Constantino Lagoa (CDC, 2024)

Impulsive thrust collision avoidance for long-term space encounters. - Matthieu Masson; Christian Artigues; Denis Arzelier; Fabrizio Dabbene; Mioara Joldes; Martina Mammarella; Federica Paganelli Azza (CDC, 2024)

A probabilistic scaling approach to conformal predictions in binary image classification. - Alberto Carlevaro; Sara Narteni; Fabrizio Dabbene; Teodoro Alamo; Maurizio Mongelli (COPA, 2024)

AI-CARE: Artificial Intelligence for Customized Adaptive Robot-Aided Rehabilitation. - Rita Molle; Christian Tamantini; Alessia Paglialonga; Davide Simeone; Leonardo Furia; Matteo Tortora; Clemente Lauretti; Giulio Iannello; Paolo Soda; Rosa Sicilia; Fabrizio Dabbene; Loredana Zollo (HFR, 2024)

A novel mathematical model for predicting the benefits of physical activity on type 2 diabetes progression. - Pierluigi Francesco De Paola; Alessandro Borri; Fabrizio Dabbene; Karim Keshavjee; Pasquale Palumbo; Alessia Paglialonga (CoRR, 2024)

A blended physics-based and black-box identification approach for spacecraft inertia estimation - EXTENDED VERSION. - Martina Mammarella; Cesare Donati; Fabrizio Dabbene; Carlo Novara; Constantino Lagoa (CoRR, 2024)

Optimal policy design for decision problems under social influence. - Valentina Breschi; Chiara Ravazzi; Paolo Frasca; Fabrizio Dabbene; Mara Tanelli (CoRR, 2024)

Measured-state conditioned recursive feasibility for stochastic model predictive control. - Mirko Fiacchini; Martina Mammarella; Fabrizio Dabbene (CoRR, 2024)

First-order methods and automatic differentiation: A multi-step systems identification perspective. - Cesare Donati; Martina Mammarella; Fabrizio Dabbene; Carlo Novara; Constantino Lagoa (CoRR, 2024)

Tractable Approximations of LMI Robust Feasibility Sets. - Teodoro Alamo; Martina Mammarella; Fabrizio Dabbene; Mario Sznaier (IEEE Control. Syst. Lett., 2024)

Conformal predictions for probabilistically robust scalable machine learning classification. - Alberto Carlevaro; Teodoro Alamo; Fabrizio Dabbene; Maurizio Mongelli (Mach. Learn., 2024)

A Joint Optimization Approach for Power-Efficient Heterogeneous OFDMA Radio Access Networks. - Gabriel O. Ferreira; André Felipe Zanella; Stefanos Bakirtzis; Chiara Ravazzi; Fabrizio Dabbene; Giuseppe Carlo Calafiore; Ian James Wassell; Jie Zhang 003; Marco Fiore 001 (IEEE J. Sel. Areas Commun., 2024)

Combining off-white and sparse black models in multi-step physics-based systems identification. - Cesare Donati; Martina Mammarella; Fabrizio Dabbene; Carlo Novara; Constantino M. Lagoa (Autom., 2025)

Long-Term Diabetes Prevention via Physical Activity: An Output-Feedback MPC Approach. - Pierluigi Francesco De Paola; Alessandro Borri; Alessia Paglialonga; Fabrizio Dabbene; Pasquale Palumbo (IEEE Control. Syst. Lett., 2025)

Innovation Diffusion Dynamics Toward Long-Term Behavioral Shifts. - Lisa Piccinin; Valentina Breschi; Chiara Ravazzi; Fabrizio Dabbene; Mara Tanelli (IEEE Control. Syst. Lett., 2025)

Closed-loop robust control of long-term diabetes progression via physical activity management. - Pierluigi Francesco De Paola; Alessandro Borri; Fabrizio Dabbene; Pasquale Palumbo; Alessia Paglialonga (CoRR, 2025)

A control system framework for counterfactuals: an optimization based approach. - Pierluigi Francesco De Paola; Jared Miller; Alessandro Borri; Alessia Paglialonga; Fabrizio Dabbene (CoRR, 2025)

Exact characterization of ε-Safe Decision Regions for exponential family distributions and Multi Cost SVM approximation. - Alberto Carlevaro; Teodoro Alamo; Fabrizio Dabbene; Maurizio Mongelli (CoRR, 2025)

Power Minimization and Resource Allocation in HetNets With Uncertain Channel Gains. - Gabriel O. Ferreira; Chiara Ravazzi; Fabrizio Dabbene; Giuseppe Carlo Calafiore (IEEE Commun. Lett., 2025)

Recovering nonlinear dynamics from non-uniform observations: A physics-based identification approach with practical case studies. - Cesare Donati; Martina Mammarella; Fabrizio Dabbene; Carlo Novara; Constantino Lagoa (CoRR, 2025)

Optimal Policy Design for Repeated Decision-Making under Social Influence. - Chiara Ravazzi; Valentina Breschi; Paolo Frasca; Fabrizio Dabbene; Mara Tanelli (CoRR, 2025)

A Model-based Approach for Glucose Control via Physical Activity. - Pierluigi Francesco De Paola; Alessandro Borri; Alessia Paglialonga; Pasquale Palumbo; Fabrizio Dabbene (CoRR, 2025)

Sampling methods for multi-stage robust optimization problems. - Francesca Maggioni; Fabrizio Dabbene; Georg Ch. Pflug (Ann. Oper. Res., 2025)

Recursive feasibility for stochastic MPC and the rationale behind fixing flat tires. - Mirko Fiacchini; Martina Mammarella; Fabrizio Dabbene (CoRR, 2025)

A novel score function for conformal prediction in rule-based binary classification. - Sara Narteni; Alberto Carlevaro; Fabrizio Dabbene; Marco Muselli; Maurizio Mongelli (Pattern Recognit., 2026)