• Proceedings of the KIPE Conference
• /
• 1998.10a
• /
• pp.293-297
• /
• 1998

This paper presents a newly developed speed sensorless drive using RLS based on Neural Network Training Algorithm. The proposed algorithm has just the time-varying learning rate, while the wellknown back-propagation algorithm based on gradient descent has a constant learning rate. The number of iterations required by the new algorithm to converge is less than that of the back-propagation algorithm. The theoretical analysis and experimental results to verify the effectiveness of the proposed control strategy are described.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
• /
• 2011.10a
• /
• pp.862-863
• /
• 2011

• Proceedings of the SAREK Conference
• /
• 2005.06a
• /
• pp.195-195
• /
• 2005

• 한국약용작물학회:학술대회논문집
• /
• 2010.10a
• /
• pp.351-352
• /
• 2010

• 한국약용작물학회:학술대회논문집
• /
• 2010.10a
• /
• pp.349-350
• /
• 2010

• 한국약용작물학회:학술대회논문집
• /
• 2010.10a
• /
• pp.341-342
• /
• 2010

• Proceedings of the Zoological Society Korea Conference
• /
• 2000.10a
• /
• pp.286.1-286
• /
• 2000

No Abstract, See Full Text

• Proceedings of the Zoological Society Korea Conference
• /
• 2000.10a
• /
• pp.286.2-286
• /
• 2000

No Abstract, See Full Text

• Proceedings of the Zoological Society Korea Conference
• /
• 2000.10a
• /
• pp.239.1-239
• /
• 2000

No Abstract, See Full Text

• Proceedings of the Korean Vacuum Society Conference
• /
• 2002.06a
• /
• pp.45-45
• /
• 2002