期刊
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
卷 65, 期 9, 页码 3935-3942出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TAC.2020.2989275
关键词
Observers; Indexes; Observability; Eigenvalues and eigenfunctions; Sensors; Distributed databases; Analytical redundancy; attack detection; attack resilience; blended dynamics; cyber-physical systems; heterogeneous multiagents; resilient state estimation; strong coupling
资金
- Institute for Information and Communications Technology Promotion (IITP) - Korea government (MSIT) [2014-0-00065]
- National Research Foundation of Korea (NRF) - Korea government (Ministry of Science and ICT) [NRF-2017R1E1A1A03070342]
- Institute for Information & Communication Technology Planning & Evaluation (IITP), Republic of Korea [2014-3-00065-007] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
In this article, we present a scheme of fully distributed resilient state estimation for linear dynamical systems under sensor attacks. The proposed state observer consists of a network of local observers, where each of them utilizes local measurements and information transmitted from the neighbors. As a fully distributed scheme, it does not necessarily collect a majority of sensing data for the sake of attack identification, whereas the compromised sensors are eventually identified by the distributed network and excluded from the observers. For this, the overall network (not the individual local observer) is assumed to have redundant sensors and assumed to be connected. The proposed scheme is based on a novel design of a distributed median solver, which approximately recovers the median value of local estimates.
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