Zobrazeno 1 - 10
of 139 239
pro vyhledávání: '"Newton Raphson"'
Autor:
Ali, Naseem Zulfiqar1 (AUTHOR) naseemansari64jb@gmail.com, Khan, Awais Gul1 (AUTHOR) awaisgulkhan@gcuf.edu.pk, Awan, Muhammad Uzair1 (AUTHOR) muawan@gcuf.edu.pk, Ciurdariu, Loredana2 (AUTHOR) loredana.ciurdariu@upt.ro, Brahim, Kamel3 (AUTHOR) Kamel.brahim@fst.utm.rnu.tn
Publikováno v:
Fractal & Fractional. Oct2024, Vol. 8 Issue 10, p582. 18p.
Autor:
Corpus, Marco Junior Ticllacuri1 (AUTHOR) ticllacuri.corpus@unesp.br, Leite, Jonatas B.1 (AUTHOR) ticllacuri.corpus@unesp.br
Publikováno v:
Energies (19961073). Feb2024, Vol. 17 Issue 4, p918. 19p.
We apply the Newton-Raphson flow tracking controller to aggressive quadrotor flight and demonstrate that it achieves good tracking performance over a suite of benchmark trajectories, beating the native trajectory tracking controller in the popular PX
Externí odkaz:
http://arxiv.org/abs/2408.11197
Autor:
Barati, Masoud
This paper presents a new method for enhancing Alternating Current Power Flow (ACPF) analysis. The method integrates the Newton-Raphson (NR) method with Enhanced-Gradient Descent (GD) and computational graphs. The integration of renewable energy sour
Externí odkaz:
http://arxiv.org/abs/2406.10390
Autor:
Triana Laverde, Juan Gabriel1 (AUTHOR)
Publikováno v:
Ciencia en Desarrollo. jul-dic2023, Vol. 14 Issue 2, p75-80. 6p.
Autor:
Korzilius, Stan1 (AUTHOR), Schoenmakers, Berry1 (AUTHOR) l.a.m.schoenmakers@tue.nl
Publikováno v:
Cryptography (2410-387X). Sep2023, Vol. 7 Issue 3, p43. 28p.
Autor:
Kavitha, J.C.1 (AUTHOR) jck_kavitha@yahoo.co.in, Subitha, D.1 (AUTHOR)
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 2024, Vol. 46 Issue 1, p753-767. 15p.
Autor:
Vega-Hernández., Mayrim1,2, Palmero-Ledón, Darío1, Lage-Castellanos, Agustín1, Bornot, José M. Sánchez3, Valdés-Sosa, Pedro A.1,2, Martínez-Montes, Eduardo1
Publikováno v:
Investigación Operacional. 2023, Vol. 44 Issue 4, p646-661. 16p.
A long-standing and formidable challenge faced by all conservative schemes for relativistic magnetohydrodynamics (RMHD) is the recovery of primitive variables from conservative ones. This process involves solving highly nonlinear equations subject to
Externí odkaz:
http://arxiv.org/abs/2404.05531
Autor:
Nien‐Che Yang, Chih‐Hsiung Tseng
Publikováno v:
IET Generation, Transmission & Distribution, Vol 18, Iss 13, Pp 2339-2352 (2024)
Abstract This study introduces a series of strategies to enhance convergence in the Newton–Raphson power flow method for unbalanced distribution networks. The proposed approach incorporates graph theory, Kron reduction, and current injection techni
Externí odkaz:
https://doaj.org/article/8d4aa257b91b45029ed57278f8dc62d0