Giuseppe Notarstefano

Orcid: 0000-0002-0906-7848

According to our database1, Giuseppe Notarstefano authored at least 117 papers between 2005 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Stability-Certified On-Policy Data-Driven LQR via Recursive Learning and Policy Gradient.
CoRR, 2024

MR-ARL: Model Reference Adaptive Reinforcement Learning for Robustly Stable On-Policy Data-Driven LQR.
CoRR, 2024

2023
The Gradient Tracking Is a Distributed Integral Action.
IEEE Trans. Autom. Control., December, 2023

GTAdam: Gradient Tracking With Adaptive Momentum for Distributed Online Optimization.
IEEE Trans. Control. Netw. Syst., September, 2023

Distributed Online Aggregative Optimization for Dynamic Multirobot Coordination.
IEEE Trans. Autom. Control., June, 2023

Multi-Robot Pickup and Delivery via Distributed Resource Allocation.
IEEE Trans. Robotics, April, 2023

A Distributed Mixed-Integer Framework to Stochastic Optimal Microgrid Control.
IEEE Trans. Control. Syst. Technol., 2023

Distributed Personalized Gradient Tracking With Convex Parametric Models.
IEEE Trans. Autom. Control., 2023

CrazyChoir: Flying Swarms of Crazyflie Quadrotors in ROS 2.
IEEE Robotics Autom. Lett., 2023

Nonconvex Distributed Optimization via Lasalle and Singular Perturbations.
IEEE Control. Syst. Lett., 2023

A Tutorial on Distributed Optimization for Cooperative Robotics: from Setups and Algorithms to Toolboxes and Research Directions.
CoRR, 2023

Nonconvex Distributed Feedback Optimization for Aggregative Cooperative Robotics.
CoRR, 2023

Triggered Gradient Tracking for asynchronous distributed optimization.
Autom., 2023

A Distributed Online Optimization Strategy for Cooperative Robotic Surveillance.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

A Tracking Augmented Lagrangian Method for ℓ0 Sparse Consensus Optimization.
Proceedings of the 9th International Conference on Control, 2023

On-Policy Data-Driven Linear Quadratic Regulator via Combined Policy Iteration and Recursive Least Squares.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Distributed Consensus Optimization via ADMM-Tracking Gradient.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

On-Policy Data-Driven Linear Quadratic Regulator via Model Reference Adaptive Reinforcement Learning.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022
Generalized Assignment for Multi-Robot Systems via Distributed Branch-And-Price.
IEEE Trans. Robotics, 2022

Distributed Primal Decomposition for Large-Scale MILPs.
IEEE Trans. Autom. Control., 2022

Distributed Stochastic Dual Subgradient for Constraint-Coupled Optimization.
IEEE Control. Syst. Lett., 2022

Tracking-based distributed equilibrium seeking for aggregative games.
CoRR, 2022

Structured-policy Q-learning: an LMI-based Design Strategy for Distributed Reinforcement Learning.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Uniform quasi-convex optimisation via Extremum Seeking.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

A Learning-based Distributed Algorithm for Personalized Aggregative Optimization.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021
Randomized Constraints Consensus for Distributed Robust Mixed-Integer Programming.
IEEE Trans. Control. Netw. Syst., 2021

Distributed Big-Data Optimization via Blockwise Gradient Tracking.
IEEE Trans. Autom. Control., 2021

Randomized Block Proximal Methods for Distributed Stochastic Big-Data Optimization.
IEEE Trans. Autom. Control., 2021

ChoiRbot: A ROS 2 Toolbox for Cooperative Robotics.
IEEE Robotics Autom. Lett., 2021

Extremum Seeking Tracking for Derivative-free Distributed Optimization.
CoRR, 2021

GoPRONTO: a Feedback-based Framework for Nonlinear Optimal Control.
CoRR, 2021

Distributed Online Aggregative Optimization for Dynamic Multi-robot Coordination.
CoRR, 2021

Constraint-coupled Optimization with Unknown Costs: A Distributed Primal Decomposition Approach.
CoRR, 2021

Subgradient averaging for multi-agent optimisation with different constraint sets.
Autom., 2021

Distributed constraint-coupled optimization via primal decomposition over random time-varying graphs.
Autom., 2021

Learning-driven Nonlinear Optimal Control via Gaussian Process Regression.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020
Constraint-Coupled Distributed Optimization: A Relaxation and Duality Approach.
IEEE Trans. Control. Netw. Syst., 2020

Distributed Mixed-Integer Linear Programming via Cut Generation and Constraint Exchange.
IEEE Trans. Autom. Control., 2020

Interaction-Based Distributed Learning in Cyber-Physical and Social Networks.
IEEE Trans. Autom. Control., 2020

On the Linear Convergence Rate of the Distributed Block Proximal Method.
IEEE Control. Syst. Lett., 2020

Guest Editorial Introduction to the Special Issue of the IEEE L-CSS on Learning and Control.
IEEE Control. Syst. Lett., 2020

Distributed Online Optimization via Gradient Tracking with Adaptive Momentum.
CoRR, 2020

Tracking-ADMM for distributed constraint-coupled optimization.
Autom., 2020

Multi-Robot Coordination for Estimation and Coverage of Unknown Spatial Fields.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019
A Duality-Based Approach for Distributed Min-Max Optimization.
IEEE Trans. Autom. Control., 2019

Multiagent Newton-Raphson Optimization Over Lossy Networks.
IEEE Trans. Autom. Control., 2019

Distributed Optimization for Smart Cyber-Physical Networks.
Found. Trends Syst. Control., 2019

DISROPT: a Python Framework for Distributed Optimization.
CoRR, 2019

Distributed Submodular Minimization via Block-Wise Updates and Communications.
CoRR, 2019

A distributed asynchronous method of multipliers for constrained nonconvex optimization.
Autom., 2019

A Sparse Polytopic LPV Controller for Fully-Distributed Nonlinear Optimal Control.
Proceedings of the 17th European Control Conference, 2019

Primal Decomposition and Constraint Generation for Asynchronous Distributed Mixed-Integer Linear Programming.
Proceedings of the 17th European Control Conference, 2019

Convergence rate analysis of a subgradient averaging algorithm for distributed optimisation with different constraint sets.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

A Randomized Block Subgradient Approach to Distributed Big Data Optimization.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Distributed Constraint-Coupled Optimization over Random Time-Varying Graphs via Primal Decomposition and Block Subgradient Approaches.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

A System Theoretical Perspective to Gradient-Tracking Algorithms for Distributed Quadratic Optimization.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018
Minimum-Time Trajectory Generation for Quadrotors in Constrained Environments.
IEEE Trans. Control. Syst. Technol., 2018

Distributed Partitioned Big-Data Optimization via Asynchronous Dual Decomposition.
IEEE Trans. Control. Netw. Syst., 2018

Distributed Big-Data Optimization via Block-wise Gradient Tracking.
CoRR, 2018

A Distributed Version of the Hungarian Method for Multi-Robot Assignment.
CoRR, 2018

A Duality-Based Approach for Distributed Optimization with Coupling Constraints.
CoRR, 2018

An Empirical Bayes Approach for Distributed Estimation of Spatial Fields.
Proceedings of the 16th European Control Conference, 2018

Distributed Learning from Interactions in Social Networks.
Proceedings of the 16th European Control Conference, 2018

Asynchronous Distributed Method of Multipliers for Constrained Nonconvex optimization.
Proceedings of the 16th European Control Conference, 2018

Distributed Submodular Minimization Over Networks: A Greedy Column Generation Approach.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

A Primal Decomposition Method with Suboptimality Bounds for Distributed Mixed-Integer Linear Programming.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017
A Distributed Version of the Hungarian Method for Multirobot Assignment.
IEEE Trans. Robotics, 2017

Asynchronous Distributed Optimization Via Randomized Dual Proximal Gradient.
IEEE Trans. Autom. Control., 2017

A finite-time cutting plane algorithm for distributed mixed integer linear programming.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Distributed big-data optimization via block-iterative convexification and averaging.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

A randomized distributed ellipsoid algorithm for uncertain feasibility problems.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Distributed big-data optimization via block communications.
Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

2016
A Bayesian Framework for Distributed Estimation of Arrival Rates in Asynchronous Networks.
IEEE Trans. Signal Process., 2016

From tracking to robust maneuver regulation: An easy-to-design approach for VTOL aerial robots.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Final-state constrained optimal control via a projection operator approach.
Proceedings of the 15th European Control Conference, 2016

Computing minimum-time trajectories for quadrotors via transverse coordinates.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

A randomized primal distributed algorithm for partitioned and big-data non-convex optimization.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

A duality-based approach for distributed min-max optimization with application to demand side management.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

2015
An Efficient Minimum-Time Trajectory Generation Strategy for Two-Track Car Vehicles.
IEEE Trans. Control. Syst. Technol., 2015

Distributed n-Player Approachability and Consensus in Coalitional Games.
IEEE Trans. Autom. Control., 2015

Distributed quadratic programming under asynchronous and lossy communications via Newton-Raphson consensus.
Proceedings of the 14th European Control Conference, 2015

A core-set approach for distributed quadratic programming in big-data classification.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Randomized dual proximal gradient for large-scale distributed optimization.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Analysis of Newton-Raphson consensus for multi-agent convex optimization under asynchronous and lossy communications.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

2014
Optimal Control Based Dynamics Exploration of a Rigid Car With Longitudinal Load Transfer.
IEEE Trans. Control. Syst. Technol., 2014

A Polyhedral Approximation Framework for Convex and Robust Distributed Optimization.
IEEE Trans. Autom. Control., 2014

Development and numerical validation of a reduced-order two-track car model.
Eur. J. Control, 2014

Distributed Bayesian estimation of arrival rates in asynchronous monitoring networks.
Proceedings of the IEEE International Conference on Acoustics, 2014

2013
Controllability and Observability of Grid Graphs via Reduction and Symmetries.
IEEE Trans. Autom. Control., 2013

Non-Existence of Minimizing Trajectories for Steer-Braking Systems.
Proceedings of the 9th IFAC Symposium on Nonlinear Control Systems, 2013

Aggressive Maneuver Regulation of a Quadrotor UAV.
Proceedings of the Robotics Research, 2013

On a reduced-order two-track car model including longitudinal and lateral load transfer.
Proceedings of the 12th European Control Conference, 2013

From non-cooperative to cooperative distributed MPC: A simplicial approximation perspective.
Proceedings of the 12th European Control Conference, 2013

Distributed estimation of binary event probabilities via hierarchical Bayes and dual decomposition.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Distributed partition-based optimization via dual decomposition.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

A projected SQP method for nonlinear optimal control with quadratic convergence.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

2012
On the Reachability and Observability of Path and Cycle Graphs.
IEEE Trans. Autom. Control., 2012

A distributed simplex algorithm for degenerate linear programs and multi-agent assignments.
Autom., 2012

Computing minimum lap-time trajectories for a single-track car with load transfer.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Distributed robust optimization via Cutting-Plane Consensus.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

2011
Distributed Abstract Optimization via Constraints Consensus: Theory and Applications.
IEEE Trans. Autom. Control., 2011

Containment in leader-follower networks with switching communication topologies.
Autom., 2011

Dynamics exploration and aggressive maneuvering of a Longitudinal Vectored Thrust VTOL aircraft.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

Observability and reachability of grid graphs via reduction and symmetries.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

Locally constrained decision making via two-stage distributed simplex.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

A distributed simplex algorithm and the multi-agent assignment problem.
Proceedings of the American Control Conference, 2011

2010
Dynamics exploration of a single-track rigid car model with load transfer.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

On the observability of path and cycle graphs.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

2009
Maintaining Limited-Range Connectivity Among Second-Order Agents.
SIAM J. Control. Optim., 2009

Rendezvous with multiple, intermittent leaders.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

2008
Distributed minimum time servicing for a team of Dubins vehicles.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008

On the curvature of the trajectory manifold of nonlinear systems.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008

2007
Network abstract linear programming with application to minimum-time formation control.
Proceedings of the 46th IEEE Conference on Decision and Control, 2007

2006
Distributed consensus on enclosing shapes and minimum time rendezvous.
Proceedings of the 45th IEEE Conference on Decision and Control, 2006

Maintaining limited-range connectivity among second-order agents.
Proceedings of the American Control Conference, 2006

2005
Trajectory Manifold Exploration for the PVTOL aircraft.
Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005

Path Following of a Rolling Disk Using Throttle Only.
Proceedings of the Intelligent Control, 2005


  Loading...