Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Shih Yang Lee"'
Publikováno v:
Egyptian Journal of Biological Pest Control, Vol 34, Iss 1, Pp 1-7 (2024)
Abstract Background The augmentative release of the parasitoid species Anastatus japonicus Ashmead (Hymenoptera: Eupelmidae) is essential for managing the recent invasion of litchi stink bugs (Tessaratoma papillosa (Drury)) (Hemiptera: Tessaratomidae
Externí odkaz:
https://doaj.org/article/7a28c81fbd46470f890326ce12013145
Autor:
Yi-Hui Wu, Yi-Yuan Chuang, Chin-Cheng Scotty Yang, Shih-Yang Lee, Chuan-Cheng Chung, Hsy-Yu Tzeng, Ming-Yi Chou
Publikováno v:
Biocontrol Science and Technology. 32:1417-1433
Publikováno v:
Asian Journal of Control. 18:456-472
In this study, an intelligent integral backstepping sliding-mode control IIBSMC system using a recurrent neural network RNN is proposed for the three-dimensional motion control of a piezo-flexural nanopositioning stage PFNS. First, the dynamic model
Publikováno v:
IET Control Theory & Applications. 7:2128-2142
A computed force control system using functional link radial basis function network with asymmetric membership function (FLRBFN-AMF) for three-dimension motion control of a piezo-flexural nanopositioning stage (PFNS) is proposed in this study. First,
Publikováno v:
Journal of the Chinese Institute of Engineers. 35:655-673
A novel proportional–integral–derivative neural network (PIDNN) controller is proposed to replace the PI controller, which is adopted in conventional high-frequency signal injection to improve the speed estimating performance for start-up and low
Autor:
Shih-Yang Lee, Faa-Jeng Lin
Publikováno v:
2015 IEEE 2nd International Future Energy Electronics Conference (IFEEC).
An intelligent integral backstepping sliding-mode control (IIBSMC) system using a recurrent neural network (RNN) is proposed for the three-dimension motion control of a piezo-flexural nanopositioning stage (PFNS) in this study. Moreover, the RNN esti
Autor:
Shih-Yang Lee, 李世揚
103
The objective of this dissertation is to develop a high performance intelligent control system for the PC-based piezo-flexural nanopositioning stage (PFNS) that has widely utilized in the industries for many applications such as high-density
The objective of this dissertation is to develop a high performance intelligent control system for the PC-based piezo-flexural nanopositioning stage (PFNS) that has widely utilized in the industries for many applications such as high-density
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/68044422459972117879
Autor:
Biing-Chiau Tzeng, Yung-Chi Huang, Wan-Min Wu, Shie-Ming Peng, Shih-Yang Lee, Gene-Hsiang Lee
Publikováno v:
Crystal Growth & Design. 4:63-70
Treatment of monophosphine gold(I) complex [P(CH2CH2CN)3(AuCl)] or bisphosphine gold(I) complex [dpph(AuCl)2, dpph = 1,6-bis(diphenylphosphino)hexane] with sodium 2-amino-5-mercapto-1,3,4-thiadiazolate (NaSSNH2) or sodium 6-amino-2-mercaptobenzothiaz
Publikováno v:
Journal of Electronic Commerce Research; Feb2018, Vol. 19 Issue 1, p36-54, 19p
Publikováno v:
IEEE transactions on ultrasonics, ferroelectrics, and frequency control. 59(12)
The objective of this study is to develop an intelligent nonsingular terminal sliding-mode control (INTSMC) system using an Elman neural network (ENN) for the threedimensional motion control of a piezo-flexural nanopositioning stage (PFNS). First, th