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Sökning: L773:9798350301243 OR L773:9798350301250 > Secure State Estima...

Secure State Estimation with Asynchronous Measurements against Malicious Measurement-Data and Time-Stamp Manipulation

Li, Zishuo (författare)
Tsinghua University, Department of Automation, Beijing, China
Nguyen, Anh Tung, 1995- (författare)
Uppsala universitet,Avdelningen för systemteknik,Reglerteknik,Uppsala University, Department of Information Technology, Uppsala, Sweden
Teixeira, André, Associate Professor (författare)
Uppsala universitet,Reglerteknik,Avdelningen för systemteknik,Uppsala University, Department of Information Technology, Uppsala, Sweden
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Mo, Yilin (författare)
Tsinghua University, Department of Automation, Beijing, China
Johansson, Karl H., 1967- (författare)
KTH,Reglerteknik,KTH Royal Institute of Technology
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 (creator_code:org_t)
Institute of Electrical and Electronics Engineers (IEEE), 2023
2023
Engelska.
Ingår i: 2023 62nd IEEE Conference on Decision and Control, CDC 2023. - : Institute of Electrical and Electronics Engineers (IEEE). - 9798350301243 - 9798350301250 ; , s. 7073-7080
  • Konferensbidrag (refereegranskat)
Abstract Ämnesord
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  • This paper proposes a secure state estimation scheme with asynchronous non-periodic measurements for con-tinuous LTI systems under false data attacks on measurement transmission channels. Each sensor transmits the measurement information in a triple comprised of its sensor index, the time-stamp, and the measurement value to the fusion center via unprotected communication channels. A malicious attacker can corrupt a subset of sensors by (i) manipulating the time-stamp and the measurement value, (ii) blocking transmitted measurement triples, or (iii) injecting fake measurement triples. To deal with such attacks, we propose a secure state estimator by designing decentralized local estimators and fusing all the local states by the median operator. The local estimators receive the sampled measurements and update their local state in an asynchronous manner, while the fusion center triggers the fusion and generates a secure estimation in the presence of a local update. We prove that local estimators of benign sensors are unbiased with stable error covariance. Moreover, the fused secure estimation error has bounded expectation and covariance against at most p corrupted sensors as long as the system is 2p-sparse observable. The efficacy of the proposed scheme is demonstrated through a benchmark example of the IEEE 14-bus system.

Ämnesord

TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik -- Signalbehandling (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering -- Signal Processing (hsv//eng)
TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik -- Reglerteknik (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering -- Control Engineering (hsv//eng)

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