### 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 language | English |
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Title of host publication | Proceedings of the 3rd International Conference on Sensing Technology, ICST 2008 |

Pages | 595-599 |

Number of pages | 5 |

DOIs | |

Publication status | Published - 2008 |

Event | 3rd International Conference on Sensing Technology, ICST 2008 - Tainan, Taiwan, Province of China Duration: 2008 Nov 30 → 2008 Dec 3 |

### Other

Other | 3rd International Conference on Sensing Technology, ICST 2008 |
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Country | Taiwan, Province of China |

City | Tainan |

Period | 08/11/30 → 08/12/3 |

### Fingerprint

### Keywords

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

### ASJC Scopus subject areas

- Software
- Electrical and Electronic Engineering

### Cite this

*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.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

*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

}

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 -