Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Vikas Panwar"'
Publikováno v:
Urogynaecologia International Journal, Vol 36, Iss 1 (2024)
Ectopic ureter is a rare congenital anomaly that predominantly affects females and typically manifests as urinary incontinence due to atypical ureteral openings in structures such as the vagina or cervix. This condition is estimated to occur in appro
Externí odkaz:
https://doaj.org/article/20655a2aefa14ca6ad9aa665dad3cabf
Publikováno v:
Journal of Minimal Access Surgery, Vol 17, Iss 3, Pp 389-391 (2021)
Adrenal ganglioneuromas (GNs) are very rare tumours that originate from neural crest cells. Most of the time, they are diagnosed incidentally as they are usually non-functional and remain asymptomatic. Nowadays, they are being detected more often due
Externí odkaz:
https://doaj.org/article/c2094a5585d24f50a5d2885d5008fe97
Autor:
Pramendra Kumar, Vikas Panwar
Publikováno v:
Journal of Mathematics and Computer Science. 24:49-58
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ffc08596eb0e9cadb08faf1344256663
https://doi.org/10.22436/jmcs.024.01.05
https://doi.org/10.22436/jmcs.024.01.05
Publikováno v:
Fuzzy Information and Engineering. 12:435-451
Due to the nonlinear nature of the dynamics of a robot manipulator, controlling the robot meticulously is a challenging issue for control engineers. The key purpose of this paper is to provide an a...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8027e45b1499974ae59e6b4dd4c73de3
https://doi.org/10.1080/16168658.2021.1921378
https://doi.org/10.1080/16168658.2021.1921378
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2d0aadfb986d4d8a9e2fdf38852196e6
https://doi.org/10.2139/ssrn.4043271
https://doi.org/10.2139/ssrn.4043271
Publikováno v:
Procedia Computer Science. 125:25-33
In the present paper, an RBF neural control scheme is designed for regulatory control of SISO nonaffine systems facing unknown nonlinearities. Using Taylor series expansion, the nonaffine part of the system is converted into affine form. RBF network
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0dfb4ad1a2ad520a140484b52c974eb5
https://doi.org/10.1016/j.procs.2017.12.006
https://doi.org/10.1016/j.procs.2017.12.006
Autor:
Vikas Panwar
Publikováno v:
Robotica. 35:1488-1503
SUMMARYThis paper focuses on fast terminal sliding mode control (FTSMC) of robot manipulators using wavelet neural networks (WNN) with guaranteed H∞tracking performance. The FTSMC for trajectory tracking is employed to drive the tracking error of t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e76835516cae2d2c1628e32edd5094d0
https://doi.org/10.1017/s0263574716000278
https://doi.org/10.1017/s0263574716000278
Publikováno v:
Journal of Intelligent Manufacturing. 27:1299-1308
In this paper an ANFIS-PD+I (AFSPD+I) based hybrid force/position controller has been proposed which works effectively with unspecified robot dynamics in the presence of external disturbances. A constraint is put to limit the movement of manipulator
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::745ed3a937ce06a21e84cc80fd5d975a
https://doi.org/10.1007/s10845-014-0952-1
https://doi.org/10.1007/s10845-014-0952-1
Publikováno v:
International Journal of Materials, Mechanics and Manufacturing. 2:107-112
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cb4bd21f9ba1091873206268d7b019c5
https://doi.org/10.7763/ijmmm.2014.v2.110
https://doi.org/10.7763/ijmmm.2014.v2.110
Publikováno v:
Applied Mathematics and Computation. 231:320-328
In this paper the design issues of trajectory tracking controller for robot manipulators are considered. The performance of classical model based controllers is reduced due to the presence of inherently existing uncertainties in the dynamic model of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::678eb2bb31399dca1c472722da181c79
https://doi.org/10.1016/j.amc.2013.12.082
https://doi.org/10.1016/j.amc.2013.12.082