Fabrizio Dabbene

Fabrizio Dabbene received the Laurea degree in Electrical Engineering in 1995 and the Ph.D. degree in Systems and Computer Engineering in 1999, both from Politecnico di Torino, Italy. He is currently holding a Senior Researcher position at the institute CNR IEIIT of the National Research Council of Italy, where he is the coordinator of the Systems Modeling & Control (SMC) Group. He has held visiting and research positions at The University of Iowa, at Penn State University and at the RAS (Russian Academy of Sciences) Institute of Control Science, Moscow.

His research interests include probabilistic and randomized methods for systems and control, robust control and identification of complex systems, convex optimization, dynamical social networks, space robotics, and precision agriculture. On these topics, he has published more than 150 research papers, which include more than forty articles published in international journals. He is co-author of the book Randomized Algorithms for Analysis and Control of Uncertain Systems, Springer-Verlag, published in two editions, and editor of the book Probabilistic and Randomized Methods for Design under Uncertainty, also published by Springer. He has been co-organizer of several invited sessions and special courses, and of three Conference Workshops at CDC-00, MSC-08 and MSC-10. He is a recipient of the Outstanding Paper Award from EurAgeng in 2010. He served as Associate Editor for Automatica and as Chair of the IFAC Technical Committee on Robust Control.

Dr. Dabbene is a Senior Member of the IEEE, and he has taken various responsibilities within the IEEE Control Systems Society. He has been an Associate Editor for the IEEE Transactions on Automatic Control (2008-2012), Program Chair for the 2010 IEEE Multiconference on Systems and Control, Chair of the IEEE Technical Committee on CACSD (2010-2013), member of CEB (2002-2008), IPC member of various IEEE conferences, and member of several CDC Best Student Paper Award Committees. He is currently Senior Editor of the IEEE Control Systems Letters. He served as elected member of the IEEE-CSS Board of Governors for the years 2014-2016, and as IEEE-CSS Vice-President for Publication Activities for the years 2015-2016.

Fabrizio Dabbene

IEEE Control Systems Society - Executive Committee

Automatica (Elsevier)

IEEE Transactions on Automatic Control

IEEE Senior Member

Chance-constrained sets approximation: A probabilistic scaling approach

Cooperation of unmanned systems for agricultural applications: A case study in a vineyard

Cooperation of unmanned systems for agricultural applications: A theoretical framework

Prediction error quantification through probabilistic scaling

Ergodic Opinion Dynamics over Networks: Learning Influences from Partial Observations

Learning Hidden Influences in Large-Scale Dynamical Social Networks: A Data-Driven Sparsity-Based Approach, in Memory of Roberto Tempo

Angle-Aware Coverage Control for 3-D Map Reconstruction with Drone Networks

Improving agricultural drone localization using georeferenced low-complexity maps

Designing effective policies to drive the adoption of electric vehicles: A data-informed approach

Semantic interpretation and complexity reduction of 3D point clouds of vineyards

Identification of switched autoregressive exogenous systems from large noisy datasets

A new metric for understanding hidden political influences from voting records

A probabilistic validation approach for penalty function design in Stochastic Model Predictive Control

Cooperative Agricultural Operations of Aerial and Ground Unmanned Vehicles

Computationally efficient stochastic MPC: a probabilistic scaling approach

An LMI Approach for Structured H-infinity State Feedback Control

Social network analysis of electric vehicles adoption: a data-based approach

Distributed multi-agent optimization protocol over energy management networks

Probabilistically Robust AC Optimal Power Flow

On the Design of Structured Stabilizers for LTI Systems

Waypoint Tracking via Tube-based Robust Model Predictive Control for Crop Monitoring with Fixed-Wing UAVs

Bayesian Identification of Distributed Vector AutoRegressive Processes

Learning Political DNA in the Italian Senate

Sample-Based SMPC for Tracking Control of Fixed-Wing UAV

"Flyable" Guidance and Control Algorithms for Orbital Rendezvous Maneuver

Learning influence structure in sparse social networks

An Offline-Sampling SMPC Framework With Application to Autonomous Space Maneuvers

Dynamics and Structure of Social Networks from a Systems and Control Viewpoint: A Survey of Roberto Tempo's Contributions

Distributed Multi-Agent Optimization for Pareto Optimal Problem over Unbalanced Networks via Exact Penalty Methods with Equality and Inequality Constraints

Randomized opinion dynamics over networks: influence estimation from partial observations

A Tribute to Roberto Tempo [In Memoriam]

Randomized and robust methods for uncertain systems using R-ROMULOC, with applications to DEMETER satellite benchmark

Stochastic MPC with offline uncertainty sampling

Sliding Mode Control Strategies for Rendezvous and Docking Maneuvers

Recursive Nonparametric Identification of Nonlinear Systems with Adaptive Binary Sensors

Constraint-Tightening and Stability in Stochastic Model Predictive Control

Robust linear static anti-windup with probabilistic certificates

Simple approximations of semialgebraic sets and their applications to control

A distributed algorithm with consistency for PageRank-like linear algebraic systems

A Method for Identification of Markovian Jump ARX Processes

Optimization Algorithms Supporting the Cost Optimal Analysis: The Behaviour of PSO

Influence estimation in sparse social networks

A general sampling-based SMPC approach to spacecraft proximity operations

A general sampling-based SMPC approach to spacecraft proximity operations

An Update on Society Publications [Publication Activities]

Sequential Randomized Algorithms for Convex Optimization in the Presence of Uncertainty

Radio-Frequency Identification Usage in Food Traceability

Updates on CSS Publications [Publication Activities]

Sensor Selection and Precoding Strategies for Wireless Sensor Networks

Device and Method for Optimising the Movement of Automated-Guided-Vehicles, and the like

Randomized Approximations of the Image Set of Nonlinear Mappings with Applications to Filtering

Scenario-based Stochastic MPC with guaranteed recursive feasibility

Recursive identification of nonparametric nonlinear systems with binary-valued output observations

R-RoMulOC: A unified tool for randomized and robust multiobjective control

Rendez-vous and docking position tracking via sliding mode control

Randomized Methods for Control of Uncertain Systems

Probabilistic Optimal Estimation With Uniformly Distributed Noise

A statistical learning theory approach for uncertain linear and bilinear matrix inequalities

Traceability Issues in Food Supply Chain Management: A Review

Uniform Sample Generation in Semialgebraic Sets

Dealing with the curse of dimensionality in systems and control: The randomization paradigm

Scenario Optimization with Certificates and Applications to Anti-Windup Design

Optimal Sensor Selection Strategies in the Presence of Wireless Communication Links

Guest editorial: Special issue on relaxation methods in identification and estimation problems

Methods for traceability in food production processes involving bulk products

Open problems in traceability: from raw materials to finished food products.

Anytime Reliable LDPC Convolutional Codes for Networked Control over Wireless Channel

Set approximation via minimum-volume polynomial sublevel sets

On the sample complexity of uncertain linear, bilinear matrix inequalities

A convex optimization approach to worst-case optimal sensor selection

Randomized analysis, synthesis of robust linear static anti-windup

Sequential randomized algorithms for sampled convex optimization

A robust stability methodology for track following servo systems

A Probabilistic Approach to Optimal Estimation - Part II: Algorithms and Applications

A Probabilistic Approach to Optimal Estimation Part I: Problem Formulation and Methodology

Discussion on: "On the Generation of Random Stable Polynomials"

On the Generation of Random Stable Polynomials

A Kinship Function Approach to Robust and Probabilistic Optimization Under Polynomial Uncertainty

Research on probabilistic methods for control system design

Food traceability systems: Performance evaluation and optimization

A Randomized Cutting Plane Method with Probabilistic Geometric Convergence

On the Complexity of Randomized Approximations of Nonconvex Sets

Probabilistic and Randomized Tools for Control Design

On Positivity of Polynomials: The Dilation Integral Method

Observer Design with Guaranteed RMS Gain for Discrete-Time LPV Systems with Markovian Jumps

Distributed Randomized PageRank Computation Based on Web Aggregation

Robust and chance-constrained optimization under polynomial uncertainty

On random generation of stable polynomials

On Random Generation of Stable Polynomials

Hard Bounds on the Probability of Performance with Application to Circuit Analysis

Optimization of Fresh-Food Supply Chains in Uncertain Environments, Part I: Background and Methodology

“Optimization Under Uncertainty with Applications to Design of Truss Structures”

Optimization of Fresh-Food Supply Chains in Uncertain Environments, Part II: a Case Study

Reduced Vertex Set Results for Interval Semidefinite Optimization Problems

RACT: Randomized Algorithms Control Toolbox for MATLAB

Semidefinite Programs with Interval Uncertainty: Reduced Vertex Results

A Probabilistic Analytic Center Cutting Plane Method for Feasibility of Uncertain LMIs

On the Complete Instability of Interval Polynomials

A Survey of Randomized Algorithms for Control Synthesis and Performance Verification

Robust LMIs with Polynomial Dependence on the Uncertainty

Probabilistic Methods in Control: A Tutorial

Observer Design with Guaranteed RMS Gain for Linear Parameter Varying Jump Systems

Fast Computation of Dilation Integrals for Robustness Analysis

Exact Solution of Uncertain Convex Optimization Problems

Approximate Solutions to Convex Optimization Under Stochastic Uncertainty

Optimal control of a finite-capacity fresh-food distribution network

Computing hard bounds for probabilistic robustness

Optimization of food sterilisation processes: computational models and methods

On the complete instability of interval polynomials

Near optimal solutions lo least-squares problems with stochastic uncertainty

Probabilistic and randomized methods for design under uncertainty

Near Optimal Stochastic Solutions to Uncertain Least-Squares Problems

LPV Approximation of Distributed Parameter Systems in Environmental Modelling

Randomized Algorithms for Analysis and Control of Uncertain Systems

Control design with hard/soft performance specifications: a Q-parameter randomisation approach

On the Stability of Random Matrices

Sensor Design, Identification and Control of a Deformable Pneumatic Actuator

Recursive Algorithms for Inner Ellipsoidal Approximation of Convex Polytopes

Probabilistic Design of LPV Control System

Modelling and Control of Steam Soil Disinfestation Processes

Randomized Algorithms in Robust Control

Near optimal stochastic solution to uncertain least squares problems

An Overview on Randomized Algorithms for Analysis and Control of Uncertain Systems

A Probabilistic Framework for Problems with Real Structured Uncertainty in Systems and Control

Randomized Algorithms for Analysis and Control of Uncertain Systems: An Overview

Randomized Algorithms for Probabilistic Robustness with Real and Complex Structured Uncertainty

Radial and Uniform Distributions in Vector and Matrix Spaces for Probabilistic Robustness

Probabilistic Robustness Analysis and Design of Uncertain Systems

Computation of the Minimum Destabilizing Volume for Interval and Affine Families of Polynomials

Uniform sample generation in l(p) balls for probabilistic robustness analysis

Probabilistic Robustness Analysis: Explicit Bounds for the Minimum Number of Samples