Recurrent RBFN-based fuzzy neural network control for X-Y-/spl Theta/ motion control stage using linear ultrasonic motors-Reference-Cited by-同舟云学术

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Recurrent RBFN-based fuzzy neural network control for X-Y-/spl Theta/ motion control stage using linear ultrasonic motors

Published:2006-12 Issue:12 Volume:53 Page:2450-2464
ISSN:0885-3010
Container-title:IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control
language:
Short-container-title:IEEE Trans. Ultrason., Ferroelect., Freq. Contr.

Author:

Lin Faa-jeng,Shieh Po-huang

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Acoustics and Ultrasonics,Instrumentation

Link

http://xplorestaging.ieee.org/ielx5/58/4037247/04037281.pdf?arnumber=4037281

Cited by 20 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Adaptive Hybrid Neural Network Sliding Mode Control of Ultrasonic Motors;2023 6th International Conference on Intelligent Robotics and Control Engineering (IRCE);2023-08-04

2. A multi-parameter speed control model of traveling wave ultrasonic motor;International Journal of Applied Electromagnetics and Mechanics;2020-12-10

3. A novel Robust Adaptive Control Using RFWNNs and Backstepping for Industrial Robot Manipulators with Dead-Zone;Journal of Intelligent & Robotic Systems;2019-12-10

4. Study on Real-time Extension Fault Detection for a XXY Stage by using Chaos Synchronization;Journal of Applied Research and Technology;2015-04

5. Intelligent Integral Backstepping Sliding-mode Control Using Recurrent Neural Network For Piezo-flexural Nanopositioning Stage;Asian Journal of Control;2014-12-15

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