Paper Title:
Data-Based Adaptive Fuzzy Wavelet Filter for Robot-Assisted System
  Abstract

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.

  Info
Periodical
Advanced Materials Research (Volumes 255-260)
Edited by
Jingying Zhao
Pages
1994-1998
DOI
10.4028/www.scientific.net/AMR.255-260.1994
Citation
Z. Liu, Q. H. Wu, Y. Zhang, "Data-Based Adaptive Fuzzy Wavelet Filter for Robot-Assisted System", Advanced Materials Research, Vols. 255-260, pp. 1994-1998, 2011
Online since
May 2011
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Price
$32.00
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