Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Thanh Quyen Ngo"'
Autor:
Ngoc Hoi Le, Thanh Quyen Ngo, Dinh Khoi Hoang, Quang Dich Nguyen, Duc Thinh Le, Tung Lam Nguyen
Publikováno v:
Tehnički Vjesnik, Vol 30, Iss 5, Pp 1411-1418 (2023)
This paper presents a robust adaptive cerebellar model articulation controller (RACMAC) for 1-DOF nonlaminated active magnetic bearings (AMBs) to achieve desired positions for the rotor using a robust sliding mode control based. The dynamic model of
Externí odkaz:
https://doaj.org/article/28c196e1b88d4822a84ae30a95dfaa63
Publikováno v:
International Journal of Advanced Computer Science & Applications; Aug2024, Vol. 15 Issue 8, p706-719, 14p
Publikováno v:
Journal of Robotics & Control (JRC); 2024, Vol. 5 Issue 4, p954-963, 10p
Publikováno v:
Bulletin of Electrical Engineering & Informatics; Jun2024, Vol. 13 Issue 3, p1779-1787, 9p
Publikováno v:
Journal of Robotics & Control (JRC); 2024, Vol. 5 Issue 3, p766-774, 9p
Autor:
Thanh Quyen Ngo, Thanh Hai Tran
Publikováno v:
Journal of Robotics & Control (JRC); 2024, Vol. 5 Issue 3, p746-755, 10p
Publikováno v:
Complexity, Vol 2021 (2021)
Network reconfiguration (NR) is one of the most effective methods to reduce line power loss in the distribution system, which causes higher losses than the other parts of the power system. This paper proposes a modified symbiotic organisms search (MS
Externí odkaz:
https://doaj.org/article/f3ba044262504d799f55cad40c6868fb
Publikováno v:
Mathematical Modelling of Engineering Problems; Oct2023, Vol. 10 Issue 5, p1587-1610, 24p
This paper proposed modified sunflower optimization (MSFO) for the combination of network reconfiguration and distributed generation placement problem (NR-DGP) to minimize power loss of the electric distribution system (EDS). Sunflower optimization (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7807dafc63a99f6889a5066885c25283
https://zenodo.org/record/7269912
https://zenodo.org/record/7269912
Publikováno v:
INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL. 17
This paper introduces an effective intelligent controller for robotic systems with uncertainties. The proposed method is a novel self-organizing fuzzy cerebellar model articulation controller (NSOFC) which is a combination of a cerebellar model artic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9200687c9aaf5050a2f8a4f245232c5b
https://doi.org/10.15837/ijccc.2022.4.4606
https://doi.org/10.15837/ijccc.2022.4.4606