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首页> 外文期刊>IEEE Transactions on Automatic Control >Event-Triggered State Observers for Sparse Sensor Noise/Attacks
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Event-Triggered State Observers for Sparse Sensor Noise/Attacks

机译:事件触发的状态观察器,用于稀疏的传感器噪声/攻击

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摘要

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.
机译:本文描述了两种根据传感器测量值进行状态重建的算法,这些算法会因稀疏而杂乱的“噪声”而受损。这些结果的动机是需要保护网络物理系统免受可能任意破坏传感器测量值的恶意对手的攻击。第一种算法从一批传感器测量结果中重建状态,而第二种算法则能够根据Luenberger观察者的精神将新的测量结果纳入其中。这些算法的一个显着点是使用事件触发技术来改善所提出算法的计算性能。

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