Event-Triggered State Observers for Sparse Sensor Noise/Attacks
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Event-Triggered State Observers for Sparse Sensor Noise/Attacks

  • Author(s): Shoukry, Yasser
  • Tabuada, Paulo
  • et al.

This paper describes two algorithms for state reconstruction from sensor measurements that are corrupted with sparse, but otherwise arbitrary, "noise". These results are motivated by the need to secure cyber-physical systems against a malicious adversary that can arbitrarily corrupt sensor measurements. The first algorithm reconstructs the state from a batch of sensor measurements while the second algorithm is able to incorporate new measurements as they become available, in the spirit of a Luenberger observer. A distinguishing point of these algorithms is the use of event-triggered techniques to improve the computational performance of the proposed algorithms.

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