An experimental result on system identification over networks using delta-sigma transformation

Takehito Azuma, Hirohisa Kato, Shuichi Adachi

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

Abstract

In this paper, an method to system identification over networks using 1 bit delta-sigma transformation is proposed and the efficacy of the proposed method is verified based on experimental results. Accurate mathematical models are needed to achieve intelligent control with good performances in control engineering. It is easy to obtain those mathematical models if exact input-output data of a controlled object is available by applying system identification techniques. However it is difficult to obtain the exact input-output data over networks because the data is transformed from analog data into digital data. The proposed method provides a method to build mathematical models of controlled objects over networks.

Original languageEnglish
Title of host publicationProceedings of the 3rd International Conference on Sensing Technology, ICST 2008
Pages595-599
Number of pages5
DOIs
Publication statusPublished - 2008 Dec 1
Event3rd International Conference on Sensing Technology, ICST 2008 - Tainan, Taiwan, Province of China
Duration: 2008 Nov 302008 Dec 3

Publication series

NameProceedings of the 3rd International Conference on Sensing Technology, ICST 2008

Other

Other3rd International Conference on Sensing Technology, ICST 2008
CountryTaiwan, Province of China
CityTainan
Period08/11/3008/12/3

Keywords

  • ARX models
  • Component
  • Computer networks
  • Delta-sigma transformation
  • Intelligent control
  • System identification

ASJC Scopus subject areas

  • Software
  • Electrical and Electronic Engineering

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  • Cite this

    Azuma, T., Kato, H., & Adachi, S. (2008). An experimental result on system identification over networks using delta-sigma transformation. In Proceedings of the 3rd International Conference on Sensing Technology, ICST 2008 (pp. 595-599). [4757175] (Proceedings of the 3rd International Conference on Sensing Technology, ICST 2008). https://doi.org/10.1109/ICSENST.2008.4757175