Presentation 2021-01-27
Distributed State Estimation for Linear Singular Systems and Its Application to Sensor Networks
Kei Isono, Koichi Kobayashi, Yuh Yamashita,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) The sensor attack detection problem is one of the important problems in cybersecurity and control theory. An attack to a sensor can be modeled by an unknown input in the sensing model. Then, the overall system can be represented by a linear singular system. In this paper, we propose a method of distributed state estimation for linear singular systems as one of the attack detection methods. Using the proposed method, estimation of both the state and the unknown input is performed.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) cybersecurity / sensor attack detection / sensor network / distributed state estimation / linear singular systems
Paper # MSS2020-37,SS2020-22
Date of Issue 2021-01-19 (MSS, SS)

Conference Information
Committee MSS / SS
Conference Date 2021/1/26(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Shigemasa Takai(Osaka Univ.) / Takashi Kobayashi(Tokyo Inst. of Tech.)
Vice Chair Atsuo Ozaki(Osaka Inst. of Tech.) / Kozo Okano(Shinshu Univ.)
Secretary Atsuo Ozaki(Setsunan Univ.) / Kozo Okano(Hokkaido Univ.)
Assistant Naoki Hayashi(Osaka Univ.) / Shinpei Ogata(Shinshu Univ.)

Paper Information
Registration To Technical Committee on Mathematical Systems Science and its applications / Technical Committee on Software Science
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Distributed State Estimation for Linear Singular Systems and Its Application to Sensor Networks
Sub Title (in English)
Keyword(1) cybersecurity
Keyword(2) sensor attack detection
Keyword(3) sensor network
Keyword(4) distributed state estimation
Keyword(5) linear singular systems
1st Author's Name Kei Isono
1st Author's Affiliation Hokkaido University(Hokkaido Univ.)
2nd Author's Name Koichi Kobayashi
2nd Author's Affiliation Hokkaido University(Hokkaido Univ.)
3rd Author's Name Yuh Yamashita
3rd Author's Affiliation Hokkaido University(Hokkaido Univ.)
Date 2021-01-27
Paper # MSS2020-37,SS2020-22
Volume (vol) vol.120
Number (no) MSS-342,SS-343
Page pp.pp.49-53(MSS), pp.49-53(SS),
#Pages 5
Date of Issue 2021-01-19 (MSS, SS)