Application of a Self-recurrent Wavelet Neural Network in the Modeling and Control of an AC Servo System

To control the nonlinearity, widespread variations in loads and time varying characteristic of the high power ac servo system, the modeling and control techniques are studied here. A self-recurrent wavelet neural network (SRWNN) modeling scheme is proposed, which successfully addresses the issue of...

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Veröffentlicht in:	Sensors & transducers 2014-05, Vol.171 (5), p.141-141
Hauptverfasser:	Hou, Run Min, Hou, Yuan Long, Liu, Rong Zhong, Yang, Guo Lai, Gao, Qiang
Format:	Artikel
Sprache:	eng
Schlagworte:	Compensation Control algorithms Control systems Controllers Fuzzy Fuzzy set theory Information storage Mathematical models Neural networks Servocontrol Servomechanisms Wavelet
Online-Zugang:	Volltext
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