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
Event3rd International Conference on Sensing Technology, ICST 2008 - Tainan, Taiwan, Province of China
Duration: 2008 Nov 302008 Dec 3

Other

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

Fingerprint

Identification (control systems)
Mathematical models
Intelligent control

Keywords

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

ASJC Scopus subject areas

  • Software
  • Electrical and Electronic Engineering

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] https://doi.org/10.1109/ICSENST.2008.4757175

An experimental result on system identification over networks using delta-sigma transformation. / Azuma, Takehito; Kato, Hirohisa; Adachi, Shuichi.

Proceedings of the 3rd International Conference on Sensing Technology, ICST 2008. 2008. p. 595-599 4757175.

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

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., 4757175, pp. 595-599, 3rd International Conference on Sensing Technology, ICST 2008, Tainan, Taiwan, Province of China, 08/11/30. https://doi.org/10.1109/ICSENST.2008.4757175
Azuma T, Kato H, Adachi S. An experimental result on system identification over networks using delta-sigma transformation. In Proceedings of the 3rd International Conference on Sensing Technology, ICST 2008. 2008. p. 595-599. 4757175 https://doi.org/10.1109/ICSENST.2008.4757175
Azuma, Takehito ; Kato, Hirohisa ; Adachi, Shuichi. / An experimental result on system identification over networks using delta-sigma transformation. Proceedings of the 3rd International Conference on Sensing Technology, ICST 2008. 2008. pp. 595-599
@inproceedings{9e89fd1f98824ae49a7ca8c57e7b007a,
title = "An experimental result on system identification over networks using delta-sigma transformation",
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.",
keywords = "ARX models, Component, Computer networks, Delta-sigma transformation, Intelligent control, System identification",
author = "Takehito Azuma and Hirohisa Kato and Shuichi Adachi",
year = "2008",
doi = "10.1109/ICSENST.2008.4757175",
language = "English",
isbn = "9781424421770",
pages = "595--599",
booktitle = "Proceedings of the 3rd International Conference on Sensing Technology, ICST 2008",

}

TY - GEN

T1 - An experimental result on system identification over networks using delta-sigma transformation

AU - Azuma, Takehito

AU - Kato, Hirohisa

AU - Adachi, Shuichi

PY - 2008

Y1 - 2008

N2 - 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.

AB - 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.

KW - ARX models

KW - Component

KW - Computer networks

KW - Delta-sigma transformation

KW - Intelligent control

KW - System identification

UR - http://www.scopus.com/inward/record.url?scp=63049094302&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=63049094302&partnerID=8YFLogxK

U2 - 10.1109/ICSENST.2008.4757175

DO - 10.1109/ICSENST.2008.4757175

M3 - Conference contribution

SN - 9781424421770

SP - 595

EP - 599

BT - Proceedings of the 3rd International Conference on Sensing Technology, ICST 2008

ER -