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NARX model-based identification for the developed novel robotic catheter manipulating system

  • Xu Ma*
  • , Shuxiang Guo
  • , Nan Xiao
  • , Jin Guo
  • , Shunichi Yoshida
  • , Takashi Tamiya
  • , Masahiko Kawanishi
  • , Baofeng Gao
  • *Corresponding author for this work
  • Kagawa University
  • Harbin Engineering University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Manual operation of steerable catheter is inaccurate in minimally invasive surgery and requires dexterity for efficient manipulation of the catheter meanwhile exposes surgeons to intense radiation. In this paper, our objective is to develop a remote control system that replaces the manipulation of surgeons with high accuracy and precision. The system identification for nonlinear discrete time is presented by NARX (Nonlinear ARX) method. Input force signal and output displacement signal have been measured experimentally as the reference item to identify the system dynamic equation by using Matlab toolbox. After analyzed and compared with 3 kinds of typical system mathematical model, the dynamic characteristic of system was shown that the system could be locally described in terms of a suitable NARX model and it guarantees local stability and robust.

Original languageEnglish
Title of host publication2012 IEEE International Conference on Mechatronics and Automation, ICMA 2012
Pages2225-2229
Number of pages5
DOIs
Publication statusPublished - 2012
Externally publishedYes
Event2012 9th IEEE International Conference on Mechatronics and Automation, ICMA 2012 - Chengdu, China
Duration: 5 Aug 20128 Aug 2012

Publication series

Name2012 IEEE International Conference on Mechatronics and Automation, ICMA 2012

Conference

Conference2012 9th IEEE International Conference on Mechatronics and Automation, ICMA 2012
Country/TerritoryChina
CityChengdu
Period5/08/128/08/12

Keywords

  • Minimally Invasive Surgery
  • NARX Model
  • Nonlinear System
  • Robotic Catheter Manipulating System
  • System Identification

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