A Robust Circle-criterion Observer-based Estimator for Discrete-time Nonlinear Systems in the Presence of Sensor Attacks
A Robust Circle-criterion Observer-based Estimator for Discrete-time Nonlinear Systems in the Presence of Sensor Attacks
复制标题
存在传感器攻击的离散时间非线性系统的基于稳健圆准则观察器的估计器
DOI：
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发表时间：
2018
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通讯作者：
D. Nešić
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作者：
Tianci Yang;C. Murguia;M. Kuijper;D. Nešić
针对一类具有正斜率非线性的离散时间非线性系统，研究了传感器攻击和测量噪声下的鲁棒状态估计和攻击隔离问题.我们考虑的情况下，传感器的一个子集受到添加剂虚假数据注入攻击。使用一个银行的圆准则观察员，每个观察员导致的输入到状态稳定（ISS）的估计误差，我们提出了一个估计器，尽管传感器攻击和测量噪声的系统状态提供了强大的估计;和检测和隔离传感器攻击的算法。我们的结果利用ISS性质的观察员，检查是否是一致的观察员的轨迹与无攻击的轨迹的系统。仿真结果说明了结果的性能。
We address the problem of robust state estimation and attack isolation for a class of discrete-time nonlinear systems with positive-slope nonlinearities under (potentially unbounded) sensor attacks and measurement noise. We consider the case when a subset of sensors is subject to additive false data injection attacks. Using a bank of circle-criterion observers, each observer leading to an Input-to-State Stable (ISS) estimation error, we propose a estimator that provides robust estimates of the system state in spite of sensor attacks and measurement noise; and an algorithm for detecting and isolating sensor attacks. Our results make use of the ISS property of the observers to check whether the trajectories of observers are consistent with the attack-free trajectories of the system. Simulations results are presented to illustrate the performance of the results.