Nicholas Cartocci

About Nicholas Cartocci

Nicholas Cartocci, With an exceptional h-index of 5 and a recent h-index of 5 (since 2020), a distinguished researcher at Università degli Studi di Perugia, specializes in the field of Artificial Intelligence, Fault Diagnosis, Fall Detection, Robotics.

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

Directional thrust control of a powered wingsuit for assisted gliding

Robust output feedback control of a quadrotor UAV for autonomous vision-based target tracking

Robust Multiple Fault Isolation Based on Partial-Orthogonality Criteria

Aircraft robust data-driven multiple sensor fault diagnosis based on optimality criteria

Data-driven fault diagnosis techniques: non-linear directional residual vs. machine-learning-based methods

Linear control of a nonlinear aerospace system via extended dynamic mode decomposition

Data-driven sensor fault diagnosis based on nonlinear additive models and local fault sensitivity

A Robust Data-Driven Fault Diagnosis scheme based on Recursive Dempster–Shafer Combination Rule*

Nicholas Cartocci Information

University

Position

___

Citations(all)

67

Citations(since 2020)

67

Cited By

1

hIndex(all)

5

hIndex(since 2020)

5

i10Index(all)

3

i10Index(since 2020)

3

Email

University Profile Page

Google Scholar

Nicholas Cartocci Skills & Research Interests

Artificial Intelligence

Fault Diagnosis

Fall Detection

Robotics

Top articles of Nicholas Cartocci

Directional thrust control of a powered wingsuit for assisted gliding

2024

Nicholas Cartocci
Nicholas Cartocci

H-Index: 1

Robust output feedback control of a quadrotor UAV for autonomous vision-based target tracking

2023

Robust Multiple Fault Isolation Based on Partial-Orthogonality Criteria

International Journal of Control, Automation and Systems

2022/7

Aircraft robust data-driven multiple sensor fault diagnosis based on optimality criteria

Mechanical Systems and Signal Processing

2022/5/1

Data-driven fault diagnosis techniques: non-linear directional residual vs. machine-learning-based methods

Sensors

2022/3/29

Linear control of a nonlinear aerospace system via extended dynamic mode decomposition

2022

Data-driven sensor fault diagnosis based on nonlinear additive models and local fault sensitivity

2021/12/6

A Robust Data-Driven Fault Diagnosis scheme based on Recursive Dempster–Shafer Combination Rule*

2021/6/22

A comprehensive case study of data-driven methods for robust aircraft sensor fault isolation

Sensors

2021/2/26

Nicholas Cartocci
Nicholas Cartocci

H-Index: 1

Gabriele Costante
Gabriele Costante

H-Index: 13

Agrobot: autonomous robots to support economic growth and environmental sustainability of Umbria’s agriculture

2021

A safe learning model reference adaptive controller for uncertain aircrafts models

2021

Mario Luca Fravolini
Mario Luca Fravolini

H-Index: 18

Nicholas Cartocci
Nicholas Cartocci

H-Index: 1

PCA methods and evidence based filtering for robust aircraft sensor fault diagnosis

2020/9/15

Quantification of tolerable parametric and dynamic uncertainty for robust mrac systems

2020

Mario Luca Fravolini
Mario Luca Fravolini

H-Index: 18

Nicholas Cartocci
Nicholas Cartocci

H-Index: 1

See List of Professors in Nicholas Cartocci University(Università degli Studi di Perugia)

Co-Authors

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