Fabrizio Dabbene

Orcid: 0000-0002-2258-8971

According to our database1, Fabrizio Dabbene authored at least 120 papers between 1998 and 2024.

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

Timeline

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Bibliography

2024
Conformal Predictions for Probabilistically Robust Scalable Machine Learning Classification.
CoRR, 2024

2023
Guest Editorial Special Issue on State-of-the-Art Applications of Model Predictive Control.
IEEE Trans. Control. Syst. Technol., September, 2023

Unveiling Oligarchy in Influence Networks From Partial Information.
IEEE Trans. Control. Netw. Syst., September, 2023

Trustworthy artificial intelligence classification-based equivalent bandwidth control.
Comput. Commun., September, 2023

The Long-Term Effects of Physical Activity on Blood Glucose Regulation: A Model to Unravel Diabetes Progression.
IEEE Control. Syst. Lett., 2023

Model-Free Feedback Control Synthesis From Expert Demonstration.
IEEE Control. Syst. Lett., 2023

One-shot backpropagation for multi-step prediction in physics-based system identification.
CoRR, 2023

Probabilistic Safety Regions Via Finite Families of Scalable Classifiers.
CoRR, 2023

CONFIDERAI: a novel CONFormal Interpretable-by-Design score function for Explainable and Reliable Artificial Intelligence.
CoRR, 2023

Forecasting Network Traffic: A Survey and Tutorial With Open-Source Comparative Evaluation.
IEEE Access, 2023

CONFIDERAI: CONFormal Interpretable-by-Design score function for Explainable and Reliable Artificial Intelligence.
Proceedings of the Conformal and Probabilistic Prediction with Applications, 2023

Robust control techniques for geostationary satellites with rotating solar arrays.
Proceedings of the IEEE Conference on Control Technology and Applications, 2023

2022
Fostering the Mass Adoption of Electric Vehicles: A Network-Based Approach.
IEEE Trans. Control. Netw. Syst., 2022

Graph Structure-Based Heuristics for Optimal Targeting in Social Networks.
IEEE Trans. Control. Netw. Syst., 2022

3D Distance Filter for the Autonomous Navigation of UAVs in Agricultural Scenarios.
Remote. Sens., 2022

A probabilistic point of view on peak effects in linear difference equations.
Eur. J. Control, 2022

Angle-Aware Coverage Control for 3-D Map Reconstruction With Drone Networks.
IEEE Control. Syst. Lett., 2022

Towards Proactive Moderation of Malicious Content via Bot Detection in Fringe Social Networks.
IEEE Control. Syst. Lett., 2022

Prediction Error Quantification Through Probabilistic Scaling.
IEEE Control. Syst. Lett., 2022

Fast Stochastic MPC Implementation via Policy Learning.
IEEE Control. Syst. Lett., 2022

3D Map Reconstruction of an Orchard using an Angle-Aware Covering Control Strategy.
CoRR, 2022

Chance-constrained sets approximation: A probabilistic scaling approach.
Autom., 2022

Experimental Study on Angle-aware Coverage Control with Application to 3-D Visual Map Reconstruction.
Proceedings of the IEEE Conference on Control Technology and Applications, 2022

2021
Ergodic Opinion Dynamics Over Networks: Learning Influences From Partial Observations.
IEEE Trans. Autom. Control., 2021

Chance constrained sets approximation: A probabilistic scaling approach - EXTENDED VERSION.
CoRR, 2021

Designing Effective Policies to Drive the Adoption of Electric Vehicles: a Data-informed Approach.
Proceedings of the 29th Mediterranean Conference on Control and Automation, 2021

2020
An Offline-Sampling SMPC Framework With Application to Autonomous Space Maneuvers.
IEEE Trans. Control. Syst. Technol., 2020

On the Design of Structured Stabilizers for LTI Systems.
IEEE Control. Syst. Lett., 2020

Learning hidden influences in large-scale dynamical social networks: A data-driven sparsity-based approach.
CoRR, 2020

A probabilistic validation approach for penalty function design in Stochastic Model Predictive Control.
CoRR, 2020

Social network analysis of electric vehicles adoption: a data-based approach.
Proceedings of the IEEE International Conference on Human-Machine Systems, 2020

Probabilistic Discrete Time Robust H2 Controller Design.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Computationally efficient stochastic MPC: a probabilistic scaling approach.
Proceedings of the 2020 IEEE Conference on Control Technology and Applications, 2020

2019
Probabilistically Robust AC Optimal Power Flow.
IEEE Trans. Control. Netw. Syst., 2019

Identification of Switched Autoregressive and Switched Autoregressive Exogenous Systems from Large Noisy Data Sets.
CoRR, 2019

Learning Political DNA in the Italian Senate.
Proceedings of the 17th European Control Conference, 2019

Bayesian Identification of Distributed Vector AutoRegressive Processes.
Proceedings of the 17th European Control Conference, 2019

Safe approximations of chance constrained sets by probabilistic scaling.
Proceedings of the 17th European Control Conference, 2019

A New Distributed Constrained Multi-Agent Optimization Protocol with Convergence Proof via Exactness of Penalized Objective Function.
Proceedings of the 12th Asian Control Conference, 2019

A Physics-Based Attack Detection Technique in Cyber-Physical Systems: A Model Predictive Control Co-Design Approach.
Proceedings of the 2019 Australian & New Zealand Control Conference (ANZCC), 2019

Identification of Switched Autoregressive Systems from Large Noisy Data Sets.
Proceedings of the 2019 American Control Conference, 2019

2018
Learning Influence Structure in Sparse Social Networks.
IEEE Trans. Control. Netw. Syst., 2018

Dynamics and structure of social networks from a systems and control viewpoint: A survey of Roberto Tempo's contributions.
Online Soc. Networks Media, 2018

Sample-Based SMPC for Tracking Control of Fixed-Wing UAV.
IEEE Control. Syst. Lett., 2018

Algorithms for Optimal AC Power Flow in the Presence of Renewable Sources.
CoRR, 2018

Sample-based SMPC for tracking control of fixed-wing UAV: multi-scenario mapping.
CoRR, 2018

Identification of Switched ARX Systems from Large Noisy Data Sets.
CoRR, 2018

An Offline-Sampling SMPC Framework with Application to Automated Space Maneuvers.
CoRR, 2018

Randomized opinion dynamics over networks: influence estimation from partial observations.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017
Recursive Nonparametric Identification of Nonlinear Systems With Adaptive Binary Sensors.
IEEE Trans. Autom. Control., 2017

Constraint-Tightening and Stability in Stochastic Model Predictive Control.
IEEE Trans. Autom. Control., 2017

Robust Linear Static Anti-Windup With Probabilistic Certificates.
IEEE Trans. Autom. Control., 2017

Stochastic MPC with offline uncertainty sampling.
Autom., 2017

Simple approximations of semialgebraic sets and their applications to control.
Autom., 2017

Influence estimation in sparse social networks.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

A general sampling-based SMPC approach to spacecraft proximity operations.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016
Sequential Randomized Algorithms for Convex Optimization in the Presence of Uncertainty.
IEEE Trans. Autom. Control., 2016

2015
Randomized Methods for Control of Uncertain Systems.
Proceedings of the Encyclopedia of Systems and Control, 2015

Sensor Selection and Precoding Strategies for Wireless Sensor Networks.
IEEE Trans. Signal Process., 2015

Robust static anti-windup augmentation with probabilistic certificates.
CoRR, 2015

Randomized Approximations of the Image Set of Nonlinear Mappings with Applications to Filtering.
CoRR, 2015

Recursive identification of nonparametric nonlinear systems with binary-valued output observations.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Scenario-based Stochastic MPC with guaranteed recursive feasibility.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

An improved constraint-tightening approach for Stochastic MPC.
Proceedings of the American Control Conference, 2015

Rendez-vous and docking position tracking via sliding mode control.
Proceedings of the American Control Conference, 2015

2014
Guest Editorial: Special Issue on Relaxation Methods in Identification and Estimation Problems.
IEEE Trans. Autom. Control., 2014

Probabilistic Optimal Estimation With Uniformly Distributed Noise.
IEEE Trans. Autom. Control., 2014

A statistical learning theory approach for uncertain linear and bilinear matrix inequalities.
Autom., 2014

Scenario optimization with certificates and applications to anti-windup design.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Uniform sample generation in semialgebraic sets.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Dealing with the curse of dimensionality in systems and control: The randomization paradigm.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

2013
Anytime reliable LDPC convolutional codes for networked control over wireless channel.
Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013

Set approximation via minimum-volume polynomial sublevel sets.
Proceedings of the 12th European Control Conference, 2013

A convex optimization approach to worst-case optimal sensor selection.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Randomized analysis and synthesis of robust linear static anti-windup.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

On the sample complexity of uncertain linear and bilinear matrix inequalities.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Sequential randomized algorithms for sampled convex optimization.
Proceedings of the 2013 IEEE International Symposium on Computer-Aided Control System Design, 2013

2012
Probabilistic Optimal Estimation and Filtering under Uncertainty
CoRR, 2012

A probabilistic approach to optimal estimation - Part II: algorithms and applications.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

A probabilistic approach to optimal estimation part I: Problem formulation and methodology.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

2011
A Kinship Function Approach to Robust and Probabilistic Optimization Under Polynomial Uncertainty.
IEEE Trans. Autom. Control., 2011

On the Generation of Random Stable Polynomials.
Eur. J. Control, 2011

Research on probabilistic methods for control system design.
Autom., 2011

2010
A Randomized Cutting Plane Method with Probabilistic Geometric Convergence.
SIAM J. Optim., 2010

On the complexity of randomized approximations of nonconvex sets.
Proceedings of the 2010 IEEE International Symposium on Computer-Aided Control System Design, 2010

2009
On Positivity of Polynomials: The Dilation Integral Method.
IEEE Trans. Autom. Control., 2009

Distributed randomized PageRank computation based on web aggregation.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

Robust and chance-constrained optimization under polynomial uncertainty.
Proceedings of the American Control Conference, 2009

On random generation of stable polynomials.
Proceedings of the IEEE International Conference on Control Applications, 2009

2008
Hard Bounds on the Probability of Performance With Application to Circuit Analysis.
IEEE Trans. Circuits Syst. I Regul. Pap., 2008

A randomized cutting plane scheme with geometric convergence: Probabilistic analysis and SDP applications.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008

A randomized cutting plane scheme for convex optimization.
Proceedings of the IEEE International Conference on Computer-Aided Control Systems, 2008

RACT - Randomized Algorithms Control Toolbox: A Tutorial Introduction.
Proceedings of the 2008 IEEE International Symposium on Intelligent Control, 2008

2007
On the complete instability of interval polynomials.
Syst. Control. Lett., 2007

A survey of randomized algorithms for control synthesis and performance verification.
J. Complex., 2007

A probabilistic analytic center cutting plane method for feasibility of uncertain LMIs.
Autom., 2007

Robust LMIs with polynomial dependence on the uncertainty.
Proceedings of the 46th IEEE Conference on Decision and Control, 2007

Exact Solution of Uncertain Convex Optimization Problems.
Proceedings of the American Control Conference, 2007

Fast Computation of Dilation Integrals for Robustness Analysis.
Proceedings of the American Control Conference, 2007

Observer Design with Guaranteed RMS Gain for Linear Parameter Varying Jump Systems.
Proceedings of the American Control Conference, 2007

Probabilistic Robust Control.
Proceedings of the American Control Conference, 2007

2006
Computing Hard Bounds for Probabilistic Robustness.
Proceedings of the 45th IEEE Conference on Decision and Control, 2006

An Iterative Localization Method for Probabilistic Feasibility of Uncertain LMIs.
Proceedings of the 45th IEEE Conference on Decision and Control, 2006

2005
Near optimal solutions to least-squares problems with stochastic uncertainty.
Syst. Control. Lett., 2005

LPV approximation of distributed parameter systems in environmental modelling.
Environ. Model. Softw., 2005

Optimization of fresh -food supply chains in uncertain environments: an application to the meat-refrigeration process.
Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005

Average and Worst-Case Techniques in Convex Optimization with Stochastic Uncertainty.
Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005

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

2003
Probabilistic design of LPV control systems.
Autom., 2003

Recursive algorithms for inner ellipsoidal approximation of convex polytopes.
Autom., 2003

Randomized algorithms in robust control.
Proceedings of the 42nd IEEE Conference on Decision and Control, 2003

Near optimal stochastic solutions to uncertain least square problems.
Proceedings of the American Control Conference, 2003

2002
A probabilistic framework for problems with real structured uncertainty in systems and control.
Autom., 2002

Randomization in ℛ<i>H</i><sub>∞</sub>: an approach to control design with hard/soft performance specifications.
Proceedings of the 41st IEEE Conference on Decision and Control, 2002

2001
Probabilistic robust design of LPV control systems.
Proceedings of the 40th IEEE Conference on Decision and Control, 2001

Loop gain under random feedback.
Proceedings of the 40th IEEE Conference on Decision and Control, 2001

2000
Randomized algorithms for probabilistic robustness with real and complex structured uncertainty.
IEEE Trans. Autom. Control., 2000

Inner ellipsoidal approximation of membership set: a fast recursive algorithm.
Proceedings of the 39th IEEE Conference on Decision and Control, 2000

Randomized algorithms for reduced order H<sub>∞</sub> controller design.
Proceedings of the American Control Conference, 2000

1998
Computation of the minimum destabilizing volume for interval and affine families of polynomials.
IEEE Trans. Autom. Control., 1998


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