Detection of Sensor Attack and Resilient State Estimation for Uniformly Observable Nonlinear Systems having Redundant Sensors
Detection of Sensor Attack and Resilient State Estimation for Uniformly Observable Nonlinear Systems having Redundant Sensors
复制标题
具有冗余传感器的均匀可观测非线性系统的传感器攻击检测和弹性状态估计
DOI：
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发表时间：
2018
影响因子：
6.8
通讯作者：
J. Seo
中科院分区：
文献类型：
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作者：
Junsoo Kim;Chanhwa Lee;H. Shim;Y. Eun;J. Seo
本文提出了一种传感器攻击检测算法和一类均匀可观测非线性系统的弹性状态估计方案。对手应该用可能无限的信号破坏传感器的子集，而系统具有传感器冗余。我们为每个测量输出设计一个单独的高增益观测器，以便仅获得系统状态的可观测部分。然后，通过收集来自部分观察者的所有信息并利用冗余来解决非线性纠错问题。提出了一种用于攻击检测的计算高效的在线监控方案。基于攻击检测方案，提供了一种弹性状态估计算法。仿真结果证明了该算法的有效性。
This paper presents a detection algorithm for sensor attacks and a resilient state estimation scheme for a class of uniformly observable nonlinear systems. An adversary is supposed to corrupt a subset of sensors with the possibly unbounded signals, while the system has sensor redundancy. We design an individual high-gain observer for each measurement output so that only the observable portion of the system state is obtained. Then, a nonlinear error correcting problem is solved by collecting all the information from those partial observers and exploiting redundancy. A computationally efficient, on-line monitoring scheme is presented for attack detection. Based on the attack detection scheme, an algorithm for resilient state estimation is provided. The simulation results demonstrate the effectiveness of the proposed algorithm.