Measurement error analysis of autonomous decentralized load tracking system

Tetsuya Masuishi; Koichi Shibata; Yasuyuki Oki; Kinji Mori

doi:10.1109/IECON.2006.347581

Measurement error analysis of autonomous decentralized load tracking system

Tetsuya Masuishi^*, Koichi Shibata, Yasuyuki Oki, Kinji Mori

^*Corresponding author for this work

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

3 Citations (Scopus)

Abstract

Measurement error analysis is presented for autonomous decentralized load tracking system. We propose a load tracking mechanism based on incomplete management of load information from subsystems. The system employs autonomous decentralized architecture, which enables online expansion and fault tolerance. Each subsystem asynchronously broadcasts load information to the data field shared by the subsystems. Load information in the data field is measured for a limited period of time to make the tracking ability efficient. The number of measurements and the estimation of total load from the measurements are stochastic variables. This paper shows the statistical model of measurement noise disturbing the tracking mechanism.

Original language	English
Title of host publication	IECON Proceedings (Industrial Electronics Conference)
Pages	3656-3661
Number of pages	6
DOIs	https://doi.org/10.1109/IECON.2006.347581
Publication status	Published - 2006
Externally published	Yes
Event	IECON 2006 - 32nd Annual Conference on IEEE Industrial Electronics - Paris Duration: 2006 Nov 6 → 2006 Nov 10

Other

Other	IECON 2006 - 32nd Annual Conference on IEEE Industrial Electronics
City	Paris
Period	06/11/6 → 06/11/10

ASJC Scopus subject areas

Electrical and Electronic Engineering

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10.1109/IECON.2006.347581

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title = "Measurement error analysis of autonomous decentralized load tracking system",

abstract = "Measurement error analysis is presented for autonomous decentralized load tracking system. We propose a load tracking mechanism based on incomplete management of load information from subsystems. The system employs autonomous decentralized architecture, which enables online expansion and fault tolerance. Each subsystem asynchronously broadcasts load information to the data field shared by the subsystems. Load information in the data field is measured for a limited period of time to make the tracking ability efficient. The number of measurements and the estimation of total load from the measurements are stochastic variables. This paper shows the statistical model of measurement noise disturbing the tracking mechanism.",

author = "Tetsuya Masuishi and Koichi Shibata and Yasuyuki Oki and Kinji Mori",

year = "2006",

doi = "10.1109/IECON.2006.347581",

language = "English",

isbn = "1424401364",

pages = "3656--3661",

booktitle = "IECON Proceedings (Industrial Electronics Conference)",

note = "IECON 2006 - 32nd Annual Conference on IEEE Industrial Electronics ; Conference date: 06-11-2006 Through 10-11-2006",

}

TY - GEN

T1 - Measurement error analysis of autonomous decentralized load tracking system

AU - Masuishi, Tetsuya

AU - Shibata, Koichi

AU - Oki, Yasuyuki

AU - Mori, Kinji

PY - 2006

Y1 - 2006

N2 - Measurement error analysis is presented for autonomous decentralized load tracking system. We propose a load tracking mechanism based on incomplete management of load information from subsystems. The system employs autonomous decentralized architecture, which enables online expansion and fault tolerance. Each subsystem asynchronously broadcasts load information to the data field shared by the subsystems. Load information in the data field is measured for a limited period of time to make the tracking ability efficient. The number of measurements and the estimation of total load from the measurements are stochastic variables. This paper shows the statistical model of measurement noise disturbing the tracking mechanism.

AB - Measurement error analysis is presented for autonomous decentralized load tracking system. We propose a load tracking mechanism based on incomplete management of load information from subsystems. The system employs autonomous decentralized architecture, which enables online expansion and fault tolerance. Each subsystem asynchronously broadcasts load information to the data field shared by the subsystems. Load information in the data field is measured for a limited period of time to make the tracking ability efficient. The number of measurements and the estimation of total load from the measurements are stochastic variables. This paper shows the statistical model of measurement noise disturbing the tracking mechanism.

UR - http://www.scopus.com/inward/record.url?scp=50249175515&partnerID=8YFLogxK

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U2 - 10.1109/IECON.2006.347581

DO - 10.1109/IECON.2006.347581

M3 - Conference contribution

AN - SCOPUS:50249175515

SN - 1424401364

SN - 9781424401369

SP - 3656

EP - 3661

BT - IECON Proceedings (Industrial Electronics Conference)

T2 - IECON 2006 - 32nd Annual Conference on IEEE Industrial Electronics

Y2 - 6 November 2006 through 10 November 2006

ER -

Measurement error analysis of autonomous decentralized load tracking system

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