Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Yilmaz Seryar Arikusu"'
Autor:
Yilmaz Seryar Arikusu, Nevra Bayhan
Publikováno v:
IEEE Access, Vol 12, Pp 61959-61977 (2024)
The combined use of Extreme Gradient Boosting (XGBoost) algorithm, one of the machine learning (ML) methods, and a generalization of Hermite-Biehler theorem to obtain a novel PID controller that will ensure robustly stable and optimized operation of
Externí odkaz:
https://doaj.org/article/8724da129cb041428b581b92b6c6dc45
Publikováno v:
Electrica, Vol 24, Iss 1, Pp 183-192 (2024)
Externí odkaz:
https://doaj.org/article/596a3e81ecdd4471b24e64fbda56544b
Publikováno v:
2018 6th International Conference on Control Engineering & Information Technology (CEIT).
In this paper, a robust guaranteed cost observer-based state feedback controller design problem is studied for a class of linear uncertain systems with norm-bounded uncertainties. Employing the Lyapunov stability theorem, the criteria of robust stabi
Publikováno v:
Energies, Vol 16, Iss 24, p 7970 (2023)
In this study, a parallel hybrid electric vehicle produced within the scope of our project titled “Development of Fuel Efficiency Enhancing and Innovative Technologies for Internal Combustion Engine Vehicles” has been modeled. Firstly, a new rule
Externí odkaz:
https://doaj.org/article/8b86778f9dcf4b7f8e1fc8b599531c96