Zobrazeno 1 - 10
of 136
pro vyhledávání: '"Paolo, Castaldi"'
Publikováno v:
IET Control Theory & Applications, Vol 16, Iss 15, Pp 1499-1517 (2022)
Abstract This paper proposes for the first time the theoretical requirements that a fractional‐order bilinear system with conformable derivative has to fulfil in order to satisfy different input‐to‐state stability (ISS) properties. Variants of
Externí odkaz:
https://doaj.org/article/503a958129ca4d959424d2b7b447a7ec
Publikováno v:
Energies, Vol 16, Iss 21, p 7404 (2023)
The journal retracts the article entitled “Supervisory Control and Data Acquisition for Fault Diagnosis of Wind Turbines via Deep Transfer Learning” [...]
Externí odkaz:
https://doaj.org/article/4ca4db1f6b2c48ae8c86f448c988ed81
Publikováno v:
Energies, Vol 16, Iss 9, p 3644 (2023)
The installed wind power capacity is growing worldwide. Remote condition monitoring of wind turbines is employed to achieve higher up-times and lower maintenance costs. Machine learning approaches can be used for detecting developing faults in wind t
Externí odkaz:
https://doaj.org/article/bcda5b3388bc444a8d38a089a34059e8
Publikováno v:
Actuators, Vol 11, Iss 12, p 374 (2022)
Attitude control of a novel regional truss-braced wing (TBW) aircraft with low stability characteristics is addressed in this paper using Reinforcement Learning (RL). In recent years, RL has been increasingly employed in challenging applications, par
Externí odkaz:
https://doaj.org/article/1cf3a0e17e7047f6b993b38beaebcb42
Autor:
Giulia Villani, Paolo Castaldi, Attilio Toscano, Camilla Stanghellini, Tullio Salmon Cinotti, Fausto Tomei, Rodrigo Filev Maia, Markus Taumberger, Paola Zanetti, Stefano Panizzi
Publikováno v:
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 602, Iss 23, Pp 398-404 (2018)
The aim of this work is to present the first results obtained by means of the new validation of the water balance and crop development model CRITERIA-1D, specifically set up for the SWAMP (Smart Water Management Platform) platform on one of the pilot
Externí odkaz:
https://doaj.org/article/e36da8ded42e4b41a550617a58feb8e6
Publikováno v:
International Journal of Robotics and Automation Technology. 10:14-26
Upstream wind turbines yaw to divert their wakes away from downstream turbines, increasing the power produced. Nevertheless, the majority of wake steering techniques rely on offline lookup tables that translate a set of parameters, including wind spe
Publikováno v:
Journal of Energy and Power Technology. :1-12
The installed wind power capacity is growing worldwide. Remote condition monitoring of wind turbines is employed to achieve higher uptimes and lower maintenance costs. Machine learning models can detect developing damages in wind turbines. Therefore,
Publikováno v:
Journal of Control and Decision. :1-15
Autor:
Alessandro Lambertini, Massimiliano Menghini, Jacopo Cimini, Angelo Odetti, Gabriele Bruzzone, Marco Bibuli, Emanuele Mandanici, Luca Vittuari, Paolo Castaldi, Massimo Caccia, Luca De Marchi
Publikováno v:
Sensors, Vol 22, Iss 3, p 744 (2022)
The ability to observe the world has seen significant developments in the last few decades, alongside the techniques and methodologies to derive accurate digital replicas of observed environments. Underwater ecosystems present greater challenges and
Externí odkaz:
https://doaj.org/article/21c2d1d04e814257a797a7a1b89083cb
Publikováno v:
Applied Sciences, Vol 11, Iss 11, p 5035 (2021)
The fault diagnosis of safety critical systems such as wind turbine installations includes extremely challenging aspects that motivate the research issues considered in this paper. Therefore, this work investigates two fault diagnosis solutions that
Externí odkaz:
https://doaj.org/article/3cce54b297de4eaf8aaa4d714ad2f2a8