The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
본 논문에서는 네트워크 상에서 통신이 무작위로 수행되는 센서 네트워크상의 분산 관찰자를 제안한다. 이 작업은 무작위 통신과 관련된 사례에 대한 Kalman 합의 필터 접근 방식의 자연스러운 확장입니다. 양방향 및 단방향 통신의 경우 모두 통신이 없는 경우에 비해 추정 오차 수렴의 개선을 보장하는 이득 조건을 얻습니다. 획득된 조건은 이전 연구보다 더 실용적이며 주어진 통신 확률에 대해 적절한 협력 이득을 제공합니다. 제안된 방법의 효율성은 컴퓨터 시뮬레이션을 통해 확인되었다.
Yuh YAMASHITA
Hokkaido University
Haruka SUMITA
Hokkaido University
Ryosuke ADACHI
Yamaguch University
Koichi KOBAYASHI
Hokkaido University
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Yuh YAMASHITA, Haruka SUMITA, Ryosuke ADACHI, Koichi KOBAYASHI, "Distributed Observer Design on Sensor Networks with Random Communication" in IEICE TRANSACTIONS on Fundamentals,
vol. E104-A, no. 3, pp. 613-621, March 2021, doi: 10.1587/transfun.2020EAP1039.
Abstract: This paper proposes a distributed observer on a sensor network, where communication on the network is randomly performed. This work is a natural extension of Kalman consensus filter approach to the cases involving random communication. In both bidirectional and unidirectional communication cases, gain conditions that guarantee improvement of estimation error convergence compared to the case with no communication are obtained. The obtained conditions are more practical than those of previous studies and give appropriate cooperative gains for a given communication probability. The effectiveness of the proposed method is confirmed by computer simulations.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.2020EAP1039/_p
부
@ARTICLE{e104-a_3_613,
author={Yuh YAMASHITA, Haruka SUMITA, Ryosuke ADACHI, Koichi KOBAYASHI, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Distributed Observer Design on Sensor Networks with Random Communication},
year={2021},
volume={E104-A},
number={3},
pages={613-621},
abstract={This paper proposes a distributed observer on a sensor network, where communication on the network is randomly performed. This work is a natural extension of Kalman consensus filter approach to the cases involving random communication. In both bidirectional and unidirectional communication cases, gain conditions that guarantee improvement of estimation error convergence compared to the case with no communication are obtained. The obtained conditions are more practical than those of previous studies and give appropriate cooperative gains for a given communication probability. The effectiveness of the proposed method is confirmed by computer simulations.},
keywords={},
doi={10.1587/transfun.2020EAP1039},
ISSN={1745-1337},
month={March},}
부
TY - JOUR
TI - Distributed Observer Design on Sensor Networks with Random Communication
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 613
EP - 621
AU - Yuh YAMASHITA
AU - Haruka SUMITA
AU - Ryosuke ADACHI
AU - Koichi KOBAYASHI
PY - 2021
DO - 10.1587/transfun.2020EAP1039
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E104-A
IS - 3
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - March 2021
AB - This paper proposes a distributed observer on a sensor network, where communication on the network is randomly performed. This work is a natural extension of Kalman consensus filter approach to the cases involving random communication. In both bidirectional and unidirectional communication cases, gain conditions that guarantee improvement of estimation error convergence compared to the case with no communication are obtained. The obtained conditions are more practical than those of previous studies and give appropriate cooperative gains for a given communication probability. The effectiveness of the proposed method is confirmed by computer simulations.
ER -