Path Following of a Rolling Disk Using Throttle Only. - Giuseppe Notarstefano; Maura Pasquotti; Ruggero Frezza (ISIC, 2005)

Trajectory Manifold Exploration for the PVTOL aircraft. - Giuseppe Notarstefano; John Hauser; Ruggero Frezza (CDC/ECC, 2005)

Maintaining limited-range connectivity among second-order agents. - Giuseppe Notarstefano; Ketan Savla; Francesco Bullo; Ali Jadbabaie (ACC, 2006)

Distributed consensus on enclosing shapes and minimum time rendezvous. - Giuseppe Notarstefano; Francesco Bullo (CDC, 2006)

Network abstract linear programming with application to minimum-time formation control. - Giuseppe Notarstefano; Francesco Bullo (CDC, 2007)

On the curvature of the trajectory manifold of nonlinear systems. - Giuseppe Notarstefano; John Hauser (CDC, 2008)

Distributed minimum time servicing for a team of Dubins vehicles. - Giuseppe Notarstefano; Paola Pedone (CDC, 2008)

Rendezvous with multiple, intermittent leaders. - Giuseppe Notarstefano; Magnus Egerstedt; Musad A. Haque (CDC, 2009)

Maintaining Limited-Range Connectivity Among Second-Order Agents. - Ketan Savla; Giuseppe Notarstefano; Francesco Bullo (SIAM J. Control. Optim., 2009)

On the observability of path and cycle graphs. - Gianfranco Parlangeli; Giuseppe Notarstefano (CDC, 2010)

Dynamics exploration of a single-track rigid car model with load transfer. - Alessandro Rucco; Giuseppe Notarstefano; John Hauser (CDC, 2010)

A distributed simplex algorithm and the multi-agent assignment problem. - Mathias Bürger; Giuseppe Notarstefano; Frank Allgöwer; Francesco Bullo (ACC, 2011)

Locally constrained decision making via two-stage distributed simplex. - Mathias Bürger; Giuseppe Notarstefano; Frank Allgöwer (CDC/ECC, 2011)

Observability and reachability of grid graphs via reduction and symmetries. - Giuseppe Notarstefano; Gianfranco Parlangeli (CDC/ECC, 2011)

Dynamics exploration and aggressive maneuvering of a Longitudinal Vectored Thrust VTOL aircraft. - Enrico Russo; Giuseppe Notarstefano; John Hauser (CDC/ECC, 2011)

Containment in leader-follower networks with switching communication topologies. - Giuseppe Notarstefano; Magnus Egerstedt; Musad A. Haque (Autom., 2011)

Distributed Abstract Optimization via Constraints Consensus: Theory and Applications. - Giuseppe Notarstefano; Francesco Bullo (IEEE Trans. Autom. Control., 2011)

Distributed robust optimization via Cutting-Plane Consensus. - Mathias Bürger; Giuseppe Notarstefano; Frank Allgöwer (CDC, 2012)

Computing minimum lap-time trajectories for a single-track car with load transfer. - Alessandro Rucco; Giuseppe Notarstefano; John Hauser (CDC, 2012)

A distributed simplex algorithm for degenerate linear programs and multi-agent assignments. - Mathias Bürger; Giuseppe Notarstefano; Francesco Bullo; Frank Allgöwer (Autom., 2012)

On the Reachability and Observability of Path and Cycle Graphs. - Gianfranco Parlangeli; Giuseppe Notarstefano (IEEE Trans. Autom. Control., 2012)

A projected SQP method for nonlinear optimal control with quadratic convergence. - Florian A. Bayer; Giuseppe Notarstefano; Frank Allgöwer (CDC, 2013)

Distributed partition-based optimization via dual decomposition. - Ruggero Carli; Giuseppe Notarstefano (CDC, 2013)

Distributed estimation of binary event probabilities via hierarchical Bayes and dual decomposition. - Angelo Coluccia; Giuseppe Notarstefano (CDC, 2013)

From non-cooperative to cooperative distributed MPC: A simplicial approximation perspective. - Mathias Bürger; Giuseppe Notarstefano; Frank Allgöwer (ECC, 2013)

On a reduced-order two-track car model including longitudinal and lateral load transfer. - Alessandro Rucco; Giuseppe Notarstefano; John Hauser (ECC, 2013)

Aggressive Maneuver Regulation of a Quadrotor UAV. - Sara Spedicato; Giuseppe Notarstefano; Heinrich H. Bülthoff; Antonio Franchi (ISRR, 2013)

Non-Existence of Minimizing Trajectories for Steer-Braking Systems. - Alessandro Rucco; John Hauser; Giuseppe Notarstefano (NOLCOS, 2013)

Controllability and Observability of Grid Graphs via Reduction and Symmetries. - Giuseppe Notarstefano; Gianfranco Parlangeli (IEEE Trans. Autom. Control., 2013)

Distributed Bayesian estimation of arrival rates in asynchronous monitoring networks. - Angelo Coluccia; Giuseppe Notarstefano (ICASSP, 2014)

Development and numerical validation of a reduced-order two-track car model. - Alessandro Rucco; Giuseppe Notarstefano; John Hauser (Eur. J. Control, 2014)

A Polyhedral Approximation Framework for Convex and Robust Distributed Optimization. - Mathias Bürger; Giuseppe Notarstefano; Frank Allgöwer (IEEE Trans. Autom. Control., 2014)

Optimal Control Based Dynamics Exploration of a Rigid Car With Longitudinal Load Transfer. - Alessandro Rucco; Giuseppe Notarstefano; John Hauser (IEEE Trans. Control. Syst. Technol., 2014)

Analysis of Newton-Raphson consensus for multi-agent convex optimization under asynchronous and lossy communications. - Ruggero Carli; Giuseppe Notarstefano; Luca Schenato 001; Damiano Varagnolo (CDC, 2015)

Randomized dual proximal gradient for large-scale distributed optimization. - Ivano Notarnicola; Giuseppe Notarstefano (CDC, 2015)

A core-set approach for distributed quadratic programming in big-data classification. - Giuseppe Notarstefano (CDC, 2015)

Distributed quadratic programming under asynchronous and lossy communications via Newton-Raphson consensus. - Ruggero Carli; Giuseppe Notarstefano; Luca Schenato 001; Damiano Varagnolo (ECC, 2015)

Distributed n-Player Approachability and Consensus in Coalitional Games. - Dario Bauso; Giuseppe Notarstefano (IEEE Trans. Autom. Control., 2015)

An Efficient Minimum-Time Trajectory Generation Strategy for Two-Track Car Vehicles. - Alessandro Rucco; Giuseppe Notarstefano; John Hauser (IEEE Trans. Control. Syst. Technol., 2015)

A duality-based approach for distributed min-max optimization with application to demand side management. - Ivano Notarnicola; Mauro Franceschelli; Giuseppe Notarstefano (CDC, 2016)

A randomized primal distributed algorithm for partitioned and big-data non-convex optimization. - Ivano Notarnicola; Giuseppe Notarstefano (CDC, 2016)

Computing minimum-time trajectories for quadrotors via transverse coordinates. - Sara Spedicato; Giuseppe Notarstefano (CDC, 2016)

Final-state constrained optimal control via a projection operator approach. - Ivano Notarnicola; Florian A. Bayer; Giuseppe Notarstefano; Frank Allgöwer (ECC, 2016)

From tracking to robust maneuver regulation: An easy-to-design approach for VTOL aerial robots. - Sara Spedicato; Antonio Franchi; Giuseppe Notarstefano (ICRA, 2016)

A Bayesian Framework for Distributed Estimation of Arrival Rates in Asynchronous Networks. - Angelo Coluccia; Giuseppe Notarstefano (IEEE Trans. Signal Process., 2016)

Distributed big-data optimization via block communications. - Ivano Notarnicola; Ying Sun 003; Gesualdo Scutari; Giuseppe Notarstefano (CAMSAP, 2017)

A randomized distributed ellipsoid algorithm for uncertain feasibility problems. - Mohammadreza Chamanbaz; Giuseppe Notarstefano; Roland Bouffanais (CDC, 2017)

Distributed big-data optimization via block-iterative convexification and averaging. - Ivano Notarnicola; Ying Sun 003; Gesualdo Scutari; Giuseppe Notarstefano (CDC, 2017)

A finite-time cutting plane algorithm for distributed mixed integer linear programming. - Andrea Testa; Alessandro Rucco; Giuseppe Notarstefano (CDC, 2017)

Asynchronous Distributed Optimization Via Randomized Dual Proximal Gradient. - Ivano Notarnicola; Giuseppe Notarstefano (IEEE Trans. Autom. Control., 2017)

A Distributed Version of the Hungarian Method for Multirobot Assignment. - Smriti Chopra; Giuseppe Notarstefano; Matthew Rice; Magnus Egerstedt (IEEE Trans. Robotics, 2017)

A Primal Decomposition Method with Suboptimality Bounds for Distributed Mixed-Integer Linear Programming. - Andrea Camisa; Ivano Notarnicola; Giuseppe Notarstefano (CDC, 2018)

Distributed Submodular Minimization Over Networks: A Greedy Column Generation Approach. - Andrea Testa; Ivano Notarnicola; Giuseppe Notarstefano (CDC, 2018)

Asynchronous Distributed Method of Multipliers for Constrained Nonconvex optimization. - Francesco Farina; Andrea Garulli; Antonio Giannitrapani; Giuseppe Notarstefano (ECC, 2018)

Distributed Learning from Interactions in Social Networks. - Francesco Sasso; Angelo Coluccia; Giuseppe Notarstefano (ECC, 2018)

An Empirical Bayes Approach for Distributed Estimation of Spatial Fields. - Francesco Sasso; Angelo Coluccia; Giuseppe Notarstefano (ECC, 2018)

A Duality-Based Approach for Distributed Optimization with Coupling Constraints. - Ivano Notarnicola; Giuseppe Notarstefano (CoRR, 2018)

A Distributed Version of the Hungarian Method for Multi-Robot Assignment. - Smriti Chopra; Giuseppe Notarstefano; Matthew Rice; Magnus Egerstedt (CoRR, 2018)

Distributed Big-Data Optimization via Block-wise Gradient Tracking. - Ivano Notarnicola; Ying Sun 003; Gesualdo Scutari; Giuseppe Notarstefano (CoRR, 2018)

Distributed Partitioned Big-Data Optimization via Asynchronous Dual Decomposition. - Ivano Notarnicola; Ruggero Carli; Giuseppe Notarstefano (IEEE Trans. Control. Netw. Syst., 2018)

Minimum-Time Trajectory Generation for Quadrotors in Constrained Environments. - Sara Spedicato; Giuseppe Notarstefano (IEEE Trans. Control. Syst. Technol., 2018)

A System Theoretical Perspective to Gradient-Tracking Algorithms for Distributed Quadratic Optimization. - Michelangelo Bin; Ivano Notarnicola; Lorenzo Marconi 001; Giuseppe Notarstefano (CDC, 2019)

Distributed Constraint-Coupled Optimization over Random Time-Varying Graphs via Primal Decomposition and Block Subgradient Approaches. - Andrea Camisa; Francesco Farina; Ivano Notarnicola; Giuseppe Notarstefano (CDC, 2019)

A Randomized Block Subgradient Approach to Distributed Big Data Optimization. - Francesco Farina; Giuseppe Notarstefano (CDC, 2019)

Convergence rate analysis of a subgradient averaging algorithm for distributed optimisation with different constraint sets. - Licio Romao; Kostas Margellos; Giuseppe Notarstefano; Antonis Papachristodoulou (CDC, 2019)

Primal Decomposition and Constraint Generation for Asynchronous Distributed Mixed-Integer Linear Programming. - Andrea Camisa; Giuseppe Notarstefano (ECC, 2019)

A Sparse Polytopic LPV Controller for Fully-Distributed Nonlinear Optimal Control. - Sarnavi Mahesh; Sara Spedicato; Giuseppe Notarstefano (ECC, 2019)

A distributed asynchronous method of multipliers for constrained nonconvex optimization. - Francesco Farina; Andrea Garulli; Antonio Giannitrapani; Giuseppe Notarstefano (Autom., 2019)

Distributed Submodular Minimization via Block-Wise Updates and Communications. - Francesco Farina; Andrea Testa; Giuseppe Notarstefano (CoRR, 2019)

DISROPT: a Python Framework for Distributed Optimization. - Francesco Farina; Andrea Camisa; Andrea Testa; Ivano Notarnicola; Giuseppe Notarstefano (CoRR, 2019)

Distributed Optimization for Smart Cyber-Physical Networks. - Giuseppe Notarstefano; Ivano Notarnicola; Andrea Camisa (Found. Trends Syst. Control., 2019)

Multiagent Newton-Raphson Optimization Over Lossy Networks. - Nicoletta Bof; Ruggero Carli; Giuseppe Notarstefano; Luca Schenato 001; Damiano Varagnolo (IEEE Trans. Autom. Control., 2019)

A Duality-Based Approach for Distributed Min-Max Optimization. - Ivano Notarnicola; Mauro Franceschelli; Giuseppe Notarstefano (IEEE Trans. Autom. Control., 2019)

Multi-Robot Coordination for Estimation and Coverage of Unknown Spatial Fields. - Alessia Benevento; María Santos 003; Giuseppe Notarstefano; Kamran Paynabar; Matthieu R. Bloch; Magnus Egerstedt (ICRA, 2020)

Tracking-ADMM for distributed constraint-coupled optimization. - Alessandro Falsone; Ivano Notarnicola; Giuseppe Notarstefano; Maria Prandini (Autom., 2020)

Distributed Online Optimization via Gradient Tracking with Adaptive Momentum. - Guido Carnevale; Francesco Farina; Ivano Notarnicola; Giuseppe Notarstefano (CoRR, 2020)

Guest Editorial Introduction to the Special Issue of the IEEE L-CSS on Learning and Control. - Giovanni Cherubini; Martin Guay; Sophie Tarbouriech; Kartik B. Ariyur; Mireille E. Broucke; Subhrakanti Dey; Christian Ebenbauer; Paolo Frasca; Bahman Gharesifard; Antoine Girard; João Manoel Gomes da Silva; Lars Grüne; et al. (IEEE Control. Syst. Lett., 2020)

On the Linear Convergence Rate of the Distributed Block Proximal Method. - Francesco Farina; Giuseppe Notarstefano (IEEE Control. Syst. Lett., 2020)

Interaction-Based Distributed Learning in Cyber-Physical and Social Networks. - Francesco Sasso; Angelo Coluccia; Giuseppe Notarstefano (IEEE Trans. Autom. Control., 2020)

Distributed Mixed-Integer Linear Programming via Cut Generation and Constraint Exchange. - Andrea Testa; Alessandro Rucco; Giuseppe Notarstefano (IEEE Trans. Autom. Control., 2020)

Constraint-Coupled Distributed Optimization: A Relaxation and Duality Approach. - Ivano Notarnicola; Giuseppe Notarstefano (IEEE Trans. Control. Netw. Syst., 2020)

Learning-driven Nonlinear Optimal Control via Gaussian Process Regression. - Lorenzo Sforni; Ivano Notarnicola; Giuseppe Notarstefano (CDC, 2021)

Distributed constraint-coupled optimization via primal decomposition over random time-varying graphs. - Andrea Camisa; Francesco Farina; Ivano Notarnicola; Giuseppe Notarstefano (Autom., 2021)

Subgradient averaging for multi-agent optimisation with different constraint sets. - Licio Romao; Kostas Margellos; Giuseppe Notarstefano; Antonis Papachristodoulou (Autom., 2021)

Constraint-coupled Optimization with Unknown Costs: A Distributed Primal Decomposition Approach. - Andrea Camisa; Alessia Benevento; Giuseppe Notarstefano (CoRR, 2021)

Distributed Online Aggregative Optimization for Dynamic Multi-robot Coordination. - Guido Carnevale; Andrea Camisa; Giuseppe Notarstefano (CoRR, 2021)

GoPRONTO: a Feedback-based Framework for Nonlinear Optimal Control. - Lorenzo Sforni; Sara Spedicato; Ivano Notarnicola; Giuseppe Notarstefano (CoRR, 2021)

ChoiRbot: A ROS 2 Toolbox for Cooperative Robotics. - Andrea Testa; Andrea Camisa; Giuseppe Notarstefano (IEEE Robotics Autom. Lett., 2021)

Randomized Block Proximal Methods for Distributed Stochastic Big-Data Optimization. - Francesco Farina; Giuseppe Notarstefano (IEEE Trans. Autom. Control., 2021)

Distributed Big-Data Optimization via Blockwise Gradient Tracking. - Ivano Notarnicola; Ying Sun 003; Gesualdo Scutari; Giuseppe Notarstefano (IEEE Trans. Autom. Control., 2021)

Randomized Constraints Consensus for Distributed Robust Mixed-Integer Programming. - Mohammadreza Chamanbaz; Giuseppe Notarstefano; Francesco Sasso; Roland Bouffanais (IEEE Trans. Control. Netw. Syst., 2021)

A Learning-based Distributed Algorithm for Personalized Aggregative Optimization. - Guido Carnevale; Giuseppe Notarstefano (CDC, 2022)

Uniform quasi-convex optimisation via Extremum Seeking. - Nicola Mimmo; Lorenzo Marconi 001; Giuseppe Notarstefano (CDC, 2022)

Structured-policy Q-learning: an LMI-based Design Strategy for Distributed Reinforcement Learning. - Lorenzo Sforni; Andrea Camisa; Giuseppe Notarstefano (CDC, 2022)

Distributed Stochastic Dual Subgradient for Constraint-Coupled Optimization. - Andrea Camisa; Ivano Notarnicola; Giuseppe Notarstefano (IEEE Control. Syst. Lett., 2022)

Distributed Primal Decomposition for Large-Scale MILPs. - Andrea Camisa; Ivano Notarnicola; Giuseppe Notarstefano (IEEE Trans. Autom. Control., 2022)

Generalized Assignment for Multi-Robot Systems via Distributed Branch-And-Price. - Andrea Testa; Giuseppe Notarstefano (IEEE Trans. Robotics, 2022)

On-Policy Data-Driven Linear Quadratic Regulator via Model Reference Adaptive Reinforcement Learning. - Marco Borghesi; Alessandro Bosso; Giuseppe Notarstefano (CDC, 2023)

Distributed Consensus Optimization via ADMM-Tracking Gradient. - Guido Carnevale; Nicola Bastianello; Ruggero Carli; Giuseppe Notarstefano (CDC, 2023)

On-Policy Data-Driven Linear Quadratic Regulator via Combined Policy Iteration and Recursive Least Squares. - Lorenzo Sforni; Guido Carnevale; Ivano Notarnicola; Giuseppe Notarstefano (CDC, 2023)

A Tracking Augmented Lagrangian Method for ℓ0 Sparse Consensus Optimization. - Alireza Olama; Guido Carnevale; Giuseppe Notarstefano; Eduardo Camponogara (CoDIT, 2023)

A Distributed Online Optimization Strategy for Cooperative Robotic Surveillance. - Lorenzo Pichierri; Guido Carnevale; Lorenzo Sforni; Andrea Testa; Giuseppe Notarstefano (ICRA, 2023)

Triggered Gradient Tracking for asynchronous distributed optimization. - Guido Carnevale; Ivano Notarnicola; Lorenzo Marconi 001; Giuseppe Notarstefano (Autom., 2023)

Nonconvex Distributed Optimization via Lasalle and Singular Perturbations. - Guido Carnevale; Giuseppe Notarstefano (IEEE Control. Syst. Lett., 2023)

CrazyChoir: Flying Swarms of Crazyflie Quadrotors in ROS 2. - Lorenzo Pichierri; Andrea Testa; Giuseppe Notarstefano (IEEE Robotics Autom. Lett., 2023)

Distributed Personalized Gradient Tracking With Convex Parametric Models. - Ivano Notarnicola; Andrea Simonetto; Francesco Farina; Giuseppe Notarstefano (IEEE Trans. Autom. Control., 2023)

A Distributed Mixed-Integer Framework to Stochastic Optimal Microgrid Control. - Andrea Camisa; Giuseppe Notarstefano (IEEE Trans. Control. Syst. Technol., 2023)

Multi-Robot Pickup and Delivery via Distributed Resource Allocation. - Andrea Camisa; Andrea Testa; Giuseppe Notarstefano (IEEE Trans. Robotics, 2023)

Distributed Online Aggregative Optimization for Dynamic Multirobot Coordination. - Guido Carnevale; Andrea Camisa; Giuseppe Notarstefano (IEEE Trans. Autom. Control., 2023)

GTAdam: Gradient Tracking With Adaptive Momentum for Distributed Online Optimization. - Guido Carnevale; Francesco Farina; Ivano Notarnicola; Giuseppe Notarstefano (IEEE Trans. Control. Netw. Syst., 2023)

The Gradient Tracking Is a Distributed Integral Action. - Ivano Notarnicola; Michelangelo Bin; Lorenzo Marconi 001; Giuseppe Notarstefano (IEEE Trans. Autom. Control., 2023)

Receding Horizon CBF-Based Multi-Layer Controllers for Safe Trajectory Generation. - Lorenzo Sforni; Giuseppe Notarstefano; Aaron D. Ames (ACC, 2024)

A Distributed Algorithm for Coordination in Energy Communities. - Riccardo Brumali; Guido Carnevale; Ruggero Carli; Giuseppe Notarstefano (CASE, 2024)

Distributed ℓ0 Sparse Aggregative Optimization. - Alireza Olama; Guido Carnevale; Giuseppe Notarstefano; Eduardo Camponogara (CASE, 2024)

Distributed Feedback Optimization for Multi-Robot Target Encirclement and Patrolling. - Lorenzo Pichierri; Guido Carnevale; Giuseppe Notarstefano (CASE, 2024)

Optimal Control-Based Target Tracking for Cognitive Spaceborne Radars. - Matteo Sartoni; Andrea Testa; Andrea Pietropaolo; Carlo Ciancarelli; Giuseppe Notarstefano (CASE, 2024)

A System-theoretic Note on Model-Based Actor-Critic. - Simone Baroncini; Guido Carnevale; Bahman Gharesifard; Giuseppe Notarstefano (CDC, 2024)

Distributed equilibrium seeking in aggregative games: linear convergence under singular perturbations lens. - Guido Carnevale; Filippo Fabiani; Filiberto Fele; Kostas Margellos; Giuseppe Notarstefano (CDC, 2024)

Extremum-Seeking Policy Iteration for Data-Driven LQR. - Guido Carnevale; Nicola Mimmo; Giuseppe Notarstefano (CDC, 2024)

Nonconvex Big-Data Optimization via System Theory: a Block-wise Incremental Gradient Method. - Guido Carnevale; Ivano Notarnicola; Giuseppe Notarstefano (CDC, 2024)

Biological Cell Tracking via Multi-Agent Identification and Filtering. - A. Tramaloni; Andrea Testa; Sofia Avnet; Nicola Baldini; Giuseppe Notarstefano (CDC, 2024)

A deep learning approach for distributed aggregative optimization with users' feedback. - Riccardo Brumali; Guido Carnevale; Giuseppe Notarstefano (L4DC, 2024)

Automated Detection of Spinal Lesions From CT Scans via Deep Transfer Learning. - Andrea Camisa; Giovanni Montanari; Andrea Testa; Luigi Falzetti; Sofia Avnet; Nicola Baldini; Giuseppe Notarstefano (IEEE Access, 2024)

Nonconvex distributed feedback optimization for aggregative cooperative robotics. - Guido Carnevale; Nicola Mimmo; Giuseppe Notarstefano (Autom., 2024)

MR-ARL: Model Reference Adaptive Reinforcement Learning for Robustly Stable On-Policy Data-Driven LQR. - Marco Borghesi; Alessandro Bosso; Giuseppe Notarstefano (CoRR, 2024)

Stability-Certified On-Policy Data-Driven LQR via Recursive Learning and Policy Gradient. - Lorenzo Sforni; Guido Carnevale; Ivano Notarnicola; Giuseppe Notarstefano (CoRR, 2024)

Towards Parameter-free Distributed Optimization: a Port-Hamiltonian Approach. - Rodrigo Aldana-López; Alessandro Macchelli; Giuseppe Notarstefano; Rosario Aragüés; Carlos Sagüés (CoRR, 2024)

Multi-Robot Target Monitoring and Encirclement via Triggered Distributed Feedback Optimization. - Lorenzo Pichierri; Guido Carnevale; Lorenzo Sforni; Giuseppe Notarstefano (CoRR, 2024)

Derivative-Free Data-Driven Control of Continuous-Time Linear Time-Invariant Systems. - Alessandro Bosso; Marco Borghesi; Andrea Iannelli; Giuseppe Notarstefano; Andrew R. Teel (CoRR, 2024)

Data-Driven LQR with Finite-Time Experiments via Extremum-Seeking Policy Iteration. - Guido Carnevale; Nicola Mimmo; Giuseppe Notarstefano (CoRR, 2024)

Timescale Separation for Discrete-Time Nonlinear Stochastic Systems. - Guido Carnevale; Giuseppe Notarstefano (IEEE Control. Syst. Lett., 2024)

Tracking-Based Distributed Equilibrium Seeking for Aggregative Games. - Guido Carnevale; Filippo Fabiani; Filiberto Fele; Kostas Margellos; Giuseppe Notarstefano (IEEE Trans. Autom. Control., 2024)

Uniform Nonconvex Optimization via Extremum Seeking. - Nicola Mimmo; Lorenzo Marconi 001; Giuseppe Notarstefano (IEEE Trans. Autom. Control., 2024)

A Tutorial on Distributed Optimization for Cooperative Robotics: From Setups and Algorithms to Toolboxes and Research Directions. - Andrea Testa; Guido Carnevale; Giuseppe Notarstefano (Proc. IEEE, 2025)

On Sufficient Richness for Linear Time-Invariant Systems. - Marco Borghesi; Simone Baroncini; Guido Carnevale; Alessandro Bosso; Giuseppe Notarstefano (CoRR, 2025)

Data-Driven Distributed Optimization via Aggregative Tracking and Deep-Learning. - Riccardo Brumali; Guido Carnevale; Giuseppe Notarstefano (CoRR, 2025)

Extremum Seeking Tracking for Derivative-Free Distributed Optimization. - Nicola Mimmo; Guido Carnevale; Andrea Testa; Giuseppe Notarstefano (IEEE Trans. Control. Netw. Syst., 2025)

Data-Driven Control of Continuous-Time LTI Systems via Non-Minimal Realizations. - Alessandro Bosso; Marco Borghesi; Andrea Iannelli; Giuseppe Notarstefano; Andrew R. Teel (CoRR, 2025)

DATA-DRIVEN PRONTO: a Model-free Solution for Numerical Optimal Control. - Marco Borghesi; Lorenzo Sforni; Giuseppe Notarstefano (CoRR, 2025)

A Distributed Feedback-Based Framework for Nonlinear Aggregative Optimal Control. - Lorenzo Sforni; Guido Carnevale; Giuseppe Notarstefano (IEEE Trans. Autom. Control., 2025)

ADMM-Tracking Gradient for Distributed Optimization Over Asynchronous and Unreliable Networks. - Guido Carnevale; Nicola Bastianello; Giuseppe Notarstefano; Ruggero Carli (IEEE Trans. Autom. Control., 2025)