Zobrazeno 1 - 10
of 108
pro vyhledávání: '"G, Sugumaran"'
Autor:
G, Sugumaran, N, Amutha Prabha
Publikováno v:
In Computers and Electrical Engineering September 2024 118 Part B
Autor:
G., Sugumaran1 (AUTHOR), N., Amutha Prabha1 (AUTHOR)
Publikováno v:
Journal of Electrical & Computer Engineering. 4/27/2024, Vol. 2024, p1-17. 17p.
Autor:
G, Sugumaran, N, Amutha Prabha
Publikováno v:
In e-Prime - Advances in Electrical Engineering, Electronics and Energy December 2023 6
Autor:
G. Sugumaran, N. Amutha Prabha
Publikováno v:
International Transactions on Electrical Energy Systems, Vol 2023 (2023)
Worldwide, electric vehicle (EV) sales are booming nowadays due to the rapid increase in the cost of fossil fuels. Lithium-ion batteries are very familiar in the EV industry because of their high energy per unit mass relative to other electric energy
Externí odkaz:
https://doaj.org/article/56833e31fbf24e6eaf129dd3ed82434b
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
G. Sugumaran
Doctoral Thesis / Dissertation from the year 2012 in the subject Engineering - General, grade: A, Anna University, language: English, abstract: The analysis and synthesis of higher order models are complicated and are not desirable on economic and co
Publikováno v:
Cognitive Neurodynamics. 10:85-98
This paper analyzes the global asymptotic stability of a class of neural networks with time delay in the leakage term and time-varying delays under impulsive perturbations. Here the time-varying delays are assumed to be piecewise. In this method, the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3ce22f5294f5f3bd86bd2c8041f7e716
https://doi.org/10.1007/s11571-015-9356-y
https://doi.org/10.1007/s11571-015-9356-y
Publikováno v:
Applied Mechanics and Materials. 573:26-30
To improve the tracking capability of the PV, soft computing technique is used to utilize the PV power effectively. Here, DPSO is used to maximize the PV power. In this paper Performance of SEPIC converter compared with buck-boost converter under bot
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1cc1ad7b8dffd3212b36640841965e98
https://doi.org/10.4028/www.scientific.net/amm.573.26
https://doi.org/10.4028/www.scientific.net/amm.573.26
Autor:
G. Sugumaran, S. N. Deepa
Publikováno v:
Swarm and Evolutionary Computation. 1:204-212
This paper proposes an algorithm for model order formulation of an absolutely stable higher order linear time invariant multivariable discrete system using a new version of evolutionary computing technique namely, Modified Particle Swarm Optimization
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3534573885fc3b835a47776c953bd809
https://doi.org/10.1016/j.swevo.2011.06.005
https://doi.org/10.1016/j.swevo.2011.06.005
Autor:
K. Divya, G. Sugumaran
This paper proposes an improved Maximum Power Point Tracking of PhotoVoltaic system using Deterministic Partical Swarm Optimization technique. This method has the ability to track the maximum power under varying environmental conditions i.e. partial
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::45a20a6ab1e9734fd904f0b38d734782