Model generation and parameter identification of unknown environment using element description method

Issei Takeuchi, Seiichiro Katsura

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Citations (Scopus)

Abstract

This paper proposes an identification method of unknown environment for motion control. The proposed method can estimate a physical model and its parameter simultaneously by using element description method. In this paper, the proposed method is applied to identification of environmental characteristics. General identification methods need to decide a physical model of target in advance. In another approaches such as neural network and black-box modeling methods by database, notwithstanding achieving input-output characteristics, these methods are difficult to understand the physical meaning of target environment. On the contrary, the proposed method can identify not only parameter but also a physical model of environment, which is the merit of the proposed method. Also the physical meaning of target environment is understandable according to element description. By using the proposed method, ideal controller for contact task can be designed based on environmental model and its parameter. It may be possible to discover a new physical property of environment.

Original languageEnglish
Title of host publicationProceedings - 2017 IEEE International Conference on Mechatronics, ICM 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages330-335
Number of pages6
ISBN (Electronic)9781509045389
DOIs
Publication statusPublished - 2017 May 6
Event2017 IEEE International Conference on Mechatronics, ICM 2017 - Gippsland, Australia
Duration: 2017 Feb 132017 Feb 15

Publication series

NameProceedings - 2017 IEEE International Conference on Mechatronics, ICM 2017

Other

Other2017 IEEE International Conference on Mechatronics, ICM 2017
Country/TerritoryAustralia
CityGippsland
Period17/2/1317/2/15

Keywords

  • Motion control
  • element description
  • genetic algorithm
  • system identification

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Mechanical Engineering
  • Control and Optimization

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