Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Gan Oon Peen"'
Publikováno v:
IEEE Systems Journal. 10:721-732
Tool condition monitoring (TCM) is a necessary action in a high-speed milling (HSM) process. As a worn milling tool might irreversibly damage a workpiece, there is a vital demand for a TCM system to evaluate the tool wear progress, or equivalently th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d2690638d2ec48f0b182bb28f278eea0
https://doi.org/10.1109/jsyst.2015.2425793
https://doi.org/10.1109/jsyst.2015.2425793
Autor:
Meng Joo Er, Jacek M. Zurada, Amin J. Torabi, Beng Siong Lim, Richard J. Oentaryo, Xiang Li, Gan Oon Peen, Lianyin Zhai
Publikováno v:
IEEE Systems Journal. 9:1069-1080
The process of high speed milling is regarded as one of the most sophisticated and complicated manufacturing operations. In the past four decades, many investigations have been conducted on this process, aiming to better understand its nature and imp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9ff868f08e6f07bde21f3dfae9467f68
https://doi.org/10.1109/jsyst.2013.2282479
https://doi.org/10.1109/jsyst.2013.2282479
Adaptive Suboptimal Output-Feedback Control for Linear Systems Using Integral Reinforcement Learning
Publikováno v:
IEEE Transactions on Control Systems Technology. 23:264-273
Reinforcement learning (RL) techniques have been successfully used to find optimal state-feedback controllers for continuous-time (CT) systems. However, in most real-world control applications, it is not practical to measure the system states and it
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d02b7073d8011f5ecd8f17c3c21c59ef
https://doi.org/10.1109/tcst.2014.2322778
https://doi.org/10.1109/tcst.2014.2322778
Publikováno v:
Proceeding of the 11th World Congress on Intelligent Control and Automation.
This paper uses the integral reinforcement learning (IRL) technique to develop an online learning algorithm for finding suboptimal static output-feedback controllers for partially-unknown continuous-time (CT) linear systems. To our knowledge, this is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e2d9de87a0e9314272f45b72b57b235e
https://doi.org/10.1109/wcica.2014.7052989
https://doi.org/10.1109/wcica.2014.7052989
Publikováno v:
Proceeding of the 11th World Congress on Intelligent Control & Automation; 2014, p1775-1780, 6p
Autor:
Li Xiang, J Amin, Lim Beng Siong, Gan Oon Peen, San Linn, Er Meng Joo, Ching Chuen Teck, Zhai Lianyin
Tool Condition Monitoring (TCM) is a necessary action during end-milling process as worn milling-tool might irreversibly damage the work-piece. So, there is an urgent need for a TCM system to provide an evaluation of the tool-wear progress and result
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::209c8ad063503341dc6dbdeccadb6e20
http://hdl.handle.net/10220/12858
http://hdl.handle.net/10220/12858
Autor:
Olivier Massol, Er Meng Joo, Amin J. Torabi, San Linn, Li Xiang, Gan Oon Peen, Lim Beng Siong, Zhai Lianyin, Sudhan Raj Gopikrishnan, Huang Sheng
Publikováno v:
ICARCV
Surface Finishing and End Milling are among the most sophisticated manufacturing processes. For the industry to improve the quality of its end-line products, it is important for improving the performance of these processes by having a descriptive ref
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2a60370cb49fa7338b012595980fa303
https://doi.org/10.1109/icarcv.2010.5707947
https://doi.org/10.1109/icarcv.2010.5707947
Publikováno v:
2008 6th IEEE International Conference on Industrial Informatics.
Radio frequency identification (RFID) middleware is important for sharing of RFID data from one or more readers among one or more enterprise applications that request for it. This paper presents a system and method for implementing event cycle and de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9ebd06a2924380bb937aacc534775435
https://doi.org/10.1109/indin.2008.4618297
https://doi.org/10.1109/indin.2008.4618297
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