论文标题
使用Zonotopes的线性时间变变系统基于弹性设置的状态估计
Resilient Set-based State Estimation for Linear Time-Invariant Systems Using Zonotopes
论文作者
论文摘要
本文考虑了在随时间变化的传感器攻击下对线性时间不变（LTI）系统的基于设定的状态估计的问题。只要LTI系统通过每个传感器都可以稳定且可观察到，并且至少一个传感器是不妥协的，我们保证始终包含在估计集合中的真实状态。我们使用分子型来表示这些集合以提高计算效率。但是，我们表明，智能设计的隐形攻击可能会导致该算法最差的复杂性的指数增长。我们提出了几种处理这一复杂性问题的策略，并说明了我们基于旋转目标系统的基于弹性的状态估计算法。
This paper considers the problem of set-based state estimation for linear time-invariant (LTI) systems under time-varying sensor attacks. Provided that the LTI system is stable and observable via every single sensor and that at least one sensor is uncompromised, we guarantee that the true state is always contained in the estimated set. We use zonotopes to represent these sets for computational efficiency. However, we show that intelligently designed stealthy attacks may cause exponential growth in the algorithm's worst-case complexity. We present several strategies to handle this complexity issue and illustrate our resilient zonotope-based state estimation algorithm on a rotating target system.
