Data-based Adaptive Fuzzy Wavelet Filter for Robot-assisted System

被引：0

作者：

Liu, Zhi ^{[1
]}

Wu, Qi-hang ^{[1
]}

Zhang, Yun ^{[1
]}

机构：

[1] Guangdong Univ Technol, Dept Automat, Guangzhou, Guangdong, Peoples R China

来源：

ADVANCES IN CIVIL ENGINEERING, PTS 1-6 | 2011年 / 255-260卷

关键词：

minimally invasive surgery (MIS); fuzzy wavelet neural network filter (FWNNF); wavelet; hand tremor; NEURAL-NETWORKS; TREMOR;

D O I：

10.4028/www.scientific.net/AMR.255-260.1994

中图分类号：

TU [建筑科学];

学科分类号：

0813 ;

摘要：

One of the main problems for effective control of a minimally invasive surgery (MIS) is the imprecision that caused by hand tremor. In this paper, a new kind of nonlinear adaptive filter, the fuzzy wavelet neural network filter (FWNNF), is proposed to alleviate this problem. With the FWNNF, we can model and predict the hand tremor more effectively and improve the precision and reliability in the robot-assisted system for microsurgery. Extensive simulation results demonstrate the effectiveness of the proposed filter and its superior performance over its competing rivals.

引用

页码：1994 / 1998

页数：5

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