Guido Carnevale

About Guido Carnevale

Guido Carnevale, With an exceptional h-index of 5 and a recent h-index of 5 (since 2020), a distinguished researcher at Università degli Studi di Bologna, specializes in the field of Distributed Optimization, Control Theory, Game Theory.

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

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

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 Combined Policy Iteration and Recursive Least Squares

Distributed consensus optimization via admm-tracking gradient

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

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

A Tracking Augmented Lagrangian Method for ℓ0 Sparse Consensus Optimization

Guido Carnevale Information

University

Position

PhD

Citations(all)

95

Citations(since 2020)

95

Cited By

2

hIndex(all)

5

hIndex(since 2020)

5

i10Index(all)

2

i10Index(since 2020)

2

Email

University Profile Page

Google Scholar

Guido Carnevale Skills & Research Interests

Distributed Optimization

Control Theory

Game Theory

Top articles of Guido Carnevale

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

arXiv preprint arXiv:2403.05367

2024/3/8

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

On-Policy Data-Driven Linear Quadratic Regulator via Combined Policy Iteration and Recursive Least Squares

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

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

A Distributed Online Optimization Strategy for Cooperative Robotic Surveillance

2023/5/29

Nonconvex distributed feedback optimization for aggregative cooperative robotics

arXiv preprint arXiv:2302.01892

2023/2/3

Triggered gradient tracking for asynchronous distributed optimization

Automatica

2023/1/1

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

Distributed online aggregative optimization for dynamic multi-robot coordination

IEEE Transactions on Automatic Control

2022/8/5

Nonconvex distributed optimization via lasalle and singular perturbations

IEEE Control Systems Letters

2022/7/1

Guido Carnevale
Guido Carnevale

H-Index: 1

Giuseppe Notarstefano
Giuseppe Notarstefano

H-Index: 18

Aggregative feedback optimization for distributed cooperative robotics

IFAC-PapersOnLine

2022/1/1

Extremum seeking tracking for derivative-free distributed optimization

arXiv preprint arXiv:2110.04234

2021/10/8

Enhanced gradient tracking algorithms for distributed quadratic optimization via sparse gain design

IFAC-PapersOnLine

2020/1/1

See List of Professors in Guido Carnevale University(Università degli Studi di Bologna)

Co-Authors

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