Observability decomposition-based decentralized kalman filter and its application to resilient state estimation under sensor attacks

HIGHLIGHTS

  • who: Chanhwa Lee from the (UNIVERSITY) have published the research work: Observability Decomposition-Based Decentralized Kalman Filter and Its Application to Resilient State Estimation under Sensor Attacks, in the Journal: Sensors 2022, 22, 6909. of /2022/
  • what: This paper considers a discrete-time linear time invariant system in the presence of Gaussian disturbances/noises and sparse First the authors propose an optimal decentralized multisensor information fusion Kalman filter based on the observability decomposition when there is no attack. The authors design a collection of observers where each local observer utilizes only a single sensor information . . .

     

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