Ruggero Carli

About Ruggero Carli

Ruggero Carli, With an exceptional h-index of 35 and a recent h-index of 25 (since 2020), a distinguished researcher at Università degli Studi di Padova, specializes in the field of Control Theory.

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

Exploiting Estimation Bias in Deep Double Q-Learning for Actor-Critic Methods

Methods and systems for managing as-a-service systems in the event of connectivity issues

Distributed consensus optimization via admm-tracking gradient

Fast Solver for Implicit Continuous Set Model Predictive Control of Electric Drives

Dual-Ascent Optimization for the Provision of Ancillary Services in Three-Phase Low-Voltage Microgrids

A Black-Box Physics-Informed Estimator based on Gaussian Process Regression for Robot Inverse Dynamics Identification

Kernel methods and gaussian processes for system identification and control: A road map on regularized kernel-based learning for control

A Control Theoretical Approach to Online Constrained Optimization

Ruggero Carli Information

University

Position

Associate Professor at

Citations(all)

5744

Citations(since 2020)

2290

Cited By

4328

hIndex(all)

35

hIndex(since 2020)

25

i10Index(all)

102

i10Index(since 2020)

58

Email

University Profile Page

Google Scholar

Ruggero Carli Skills & Research Interests

Control Theory

Top articles of Ruggero Carli

Exploiting Estimation Bias in Deep Double Q-Learning for Actor-Critic Methods

arXiv preprint arXiv:2402.09078

2024/2/14

Ruggero Carli
Ruggero Carli

H-Index: 24

Methods and systems for managing as-a-service systems in the event of connectivity issues

2024/1/30

Distributed consensus optimization via admm-tracking gradient

2023/12/13

Fast Solver for Implicit Continuous Set Model Predictive Control of Electric Drives

IEEE Access

2022/2/9

Dual-Ascent Optimization for the Provision of Ancillary Services in Three-Phase Low-Voltage Microgrids

2023/10/16

A Black-Box Physics-Informed Estimator based on Gaussian Process Regression for Robot Inverse Dynamics Identification

arXiv preprint arXiv:2310.06585

2023/10/10

Ruggero Carli
Ruggero Carli

H-Index: 24

Kernel methods and gaussian processes for system identification and control: A road map on regularized kernel-based learning for control

2023/9/28

Ruggero Carli
Ruggero Carli

H-Index: 24

Gianluigi Pillonetto
Gianluigi Pillonetto

H-Index: 26

A Control Theoretical Approach to Online Constrained Optimization

arXiv preprint arXiv:2309.15498

2023/9/27

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

arXiv preprint arXiv:2309.14142

2023/9/25

Extrapolation-based prediction-correction methods for time-varying convex optimization

Signal Processing

2023/9/1

Nicola Bastianello
Nicola Bastianello

H-Index: 4

Ruggero Carli
Ruggero Carli

H-Index: 24

Motor-level Nonlinear Model Predictive Control for a Tilting Quadrotor

2023/8/16

Internal Model-Based Online Optimization

IEEE Transactions on Automatic Control

2023/7/20

Anomaly Detection for Hydroelectric Power Plants: a Machine Learning-based Approach

2023/7/18

Ruggero Carli
Ruggero Carli

H-Index: 24

Forward Dynamics Estimation from Data-Driven Inverse Dynamics Learning

arXiv preprint arXiv:2307.05093

2023/7/11

Ruggero Carli
Ruggero Carli

H-Index: 24

Teaching a Robot to Toss Arbitrary Objects with Model-Based Reinforcement Learning

2023/7/3

Ruggero Carli
Ruggero Carli

H-Index: 24

Learning control from raw position measurements

2023/5/31

Ruggero Carli
Ruggero Carli

H-Index: 24

Coordinated multi-robot trajectory tracking control over sampled communication

Automatica

2023/5/1

An Adaptive Model Predictive Controller to Address the Biovariability in Blood Clotting Response During Therapy With Warfarin

IEEE Transactions on Biomedical Engineering

2023/3/27

Embedding the Physics in Black-box Inverse Dynamics Identification: a Comparison Between Gaussian Processes and Neural Networks

IFAC-PapersOnLine

2023/1/1

Ruggero Carli
Ruggero Carli

H-Index: 24

Continuous-time acceleration modeling through Gaussian processes for learning-based nonlinear model predictive control

2022/8/23

See List of Professors in Ruggero Carli University(Università degli Studi di Padova)

Co-Authors

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