Giuseppe Notarstefano

About Giuseppe Notarstefano

Giuseppe Notarstefano, With an exceptional h-index of 27 and a recent h-index of 22 (since 2020), a distinguished researcher at Università degli Studi di Bologna, specializes in the field of Control Theory, Optimization, Robotics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Towards Parameter-free Distributed Optimization: a Port-Hamiltonian Approach

Stability-Certified On-Policy Data-Driven LQR via Recursive Learning and Policy Gradient

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

Tracking-based distributed equilibrium seeking for aggregative games

A Unifying System Theory Framework for Distributed Optimization and Games

On-policy data-driven linear quadratic regulator via model reference adaptive reinforcement learning

Distributed consensus optimization via admm-tracking gradient

ADMM-Tracking Gradient for Distributed Optimization over Asynchronous and Unreliable Networks

Giuseppe Notarstefano Information

University

Position

Professor of Automatic Control

Citations(all)

3081

Citations(since 2020)

1798

Cited By

2000

hIndex(all)

27

hIndex(since 2020)

22

i10Index(all)

65

i10Index(since 2020)

45

Email

University Profile Page

Google Scholar

Giuseppe Notarstefano Skills & Research Interests

Control Theory

Optimization

Robotics

Top articles of Giuseppe Notarstefano

Towards Parameter-free Distributed Optimization: a Port-Hamiltonian Approach

arXiv preprint arXiv:2404.13529

2024/4/21

Alessandro Macchelli
Alessandro Macchelli

H-Index: 16

Giuseppe Notarstefano
Giuseppe Notarstefano

H-Index: 18

Stability-Certified On-Policy Data-Driven LQR via Recursive Learning and Policy Gradient

arXiv preprint arXiv:2403.05367

2024/3/8

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

arXiv preprint arXiv:2402.14483

2024/2/22

Tracking-based distributed equilibrium seeking for aggregative games

IEEE Transactions on Automatic Control

2024

A Unifying System Theory Framework for Distributed Optimization and Games

arXiv preprint arXiv:2401.12623

2024/1/23

Guido Carnevale
Guido Carnevale

H-Index: 1

Nicola Mimmo
Nicola Mimmo

H-Index: 8

Giuseppe Notarstefano
Giuseppe Notarstefano

H-Index: 18

On-policy data-driven linear quadratic regulator via model reference adaptive reinforcement learning

2023/12/13

Distributed consensus optimization via admm-tracking gradient

2023/12/13

ADMM-Tracking Gradient for Distributed Optimization over Asynchronous and Unreliable Networks

arXiv preprint arXiv:2309.14142

2023/9/25

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

2023/9/8

Andrea Testa
Andrea Testa

H-Index: 4

Guido Carnevale
Guido Carnevale

H-Index: 1

Giuseppe Notarstefano
Giuseppe Notarstefano

H-Index: 18

A Tracking Augmented Lagrangian Method for ℓ0 Sparse Consensus Optimization

2023/7/3

Guido Carnevale
Guido Carnevale

H-Index: 1

Giuseppe Notarstefano
Giuseppe Notarstefano

H-Index: 18

Crazychoir: Flying swarms of crazyflie quadrotors in ros 2

IEEE Robotics and Automation Letters

2023/6/15

Andrea Testa
Andrea Testa

H-Index: 4

Giuseppe Notarstefano
Giuseppe Notarstefano

H-Index: 18

A Distributed Online Optimization Strategy for Cooperative Robotic Surveillance

2023/5/29

Guido Carnevale
Guido Carnevale

H-Index: 1

Andrea Testa
Andrea Testa

H-Index: 4

Giuseppe Notarstefano
Giuseppe Notarstefano

H-Index: 18

The gradient tracking is a distributed integral action

IEEE Transactions on Automatic Control

2023/2/23

Nonconvex distributed feedback optimization for aggregative cooperative robotics

arXiv preprint arXiv:2302.01892

2023/2/3

Guido Carnevale
Guido Carnevale

H-Index: 1

Nicola Mimmo
Nicola Mimmo

H-Index: 8

Giuseppe Notarstefano
Giuseppe Notarstefano

H-Index: 18

Triggered gradient tracking for asynchronous distributed optimization

Automatica

2023/1/1

Distributed personalized gradient tracking with convex parametric models

IEEE Transactions on Automatic Control

2022/1/31

Ivano Notarnicola
Ivano Notarnicola

H-Index: 9

Giuseppe Notarstefano
Giuseppe Notarstefano

H-Index: 18

Aggregative feedback optimization for distributed cooperative robotics

IFAC-PapersOnLine

2022/1/1

Guido Carnevale
Guido Carnevale

H-Index: 1

Nicola Mimmo
Nicola Mimmo

H-Index: 8

Giuseppe Notarstefano
Giuseppe Notarstefano

H-Index: 18

GTAdam: Gradient tracking with adaptive momentum for distributed online optimization

IEEE Transactions on Control of Network Systems

2022/12/27

A learning-based distributed algorithm for personalized aggregative optimization

2022/12/6

Guido Carnevale
Guido Carnevale

H-Index: 1

Giuseppe Notarstefano
Giuseppe Notarstefano

H-Index: 18

Structured-policy Q-learning: an LMI-based design strategy for distributed reinforcement learning

2022/12/6

Andrea Camisa
Andrea Camisa

H-Index: 4

Giuseppe Notarstefano
Giuseppe Notarstefano

H-Index: 18

See List of Professors in Giuseppe Notarstefano University(Università degli Studi di Bologna)

Co-Authors

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