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|Title:||A neural-network-based-method on speed control of ultrasonic motors||Authors:||Liang, Y.C.
Elman neural network
Recurrent back propagation
|Issue Date:||2003||Citation:||Liang, Y.C.,Shi, X.H.,Lee, H.P.,Lin, W.Z.,Xu, X.,Lim, S.P.,Lee, K.H. (2003). A neural-network-based-method on speed control of ultrasonic motors. 2003 Nanotechnology Conference and Trade Show - Nanotech 2003 2 : 546-549. ScholarBank@NUS Repository.||Abstract:||An improved Elman network models, output-input feedback (OIF) Elman networks is proposed based on the modified Elman network. A neural-network-based iteration control system (NNICS)) is developed by using the OIF Elman network as a passageway of the error back-propagation. The speed of the ultrasonic motor is identified using the modified Elman network and OIF Elman networks, respectively and some useful comparable results are presented. Numerical results show that the NNICS controller is effective for various kinds of reference speeds of the USM and the proposed scheme is fairly robust against random disturbance to the control variable.||Source Title:||2003 Nanotechnology Conference and Trade Show - Nanotech 2003||URI:||http://scholarbank.nus.edu.sg/handle/10635/73053||ISBN:||0972842209|
|Appears in Collections:||Staff Publications|
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