论文标题
在DOS攻击下基于线性化的非线性系统的量化稳定
Linearization-Based Quantized Stabilization of Nonlinear Systems Under DoS Attacks
论文作者
论文摘要
由于网络物理系统的最新安全问题，该技术说明研究了在拒绝服务（DOS）攻击下网络控制系统的稳定问题。特别是，我们考虑通过线性化稳定具有有限数据速率的非线性系统。我们采用确定性的DOS攻击模型，该模型限制在攻击的频率和持续时间方面，使我们能够涵盖大量的潜在攻击。为了实现渐近稳定，我们提出了一个有弹性的动态量化器，其意义在于它在存在由DOS攻击引起的数据包丢失的情况下不会饱和。通过限制平均DOS频率和持续时间来得出足够的稳定性条件。此外，由于线性化的位置，我们明确研究了对吸引区域的估计，可以根据DOS攻击的强度减少该区域。提出了一个模拟示例，以证明我们的结果。
Motivated by recent security issues in cyber-physical systems, this technical note studies the stabilization problem of networked control systems under Denial-of-Service (DoS) attacks. In particular, we consider to stabilize a nonlinear system with limited data rate via linearization. We employ a deterministic DoS attack model constrained in terms of attacks' frequency and duration, allowing us to cover a large class of potential attacks. To achieve asymptotic stabilization, we propose a resilient dynamic quantizer in the sense that it does not saturate in the presence of packet losses caused by DoS attacks. A sufficient condition for stability is derived by restricting the average DoS frequency and duration. In addition, because of the locality of linearization, we explicitly investigate an estimate of the region of attraction, which can be expected to be reduced depending on the strength of DoS attacks. A simulation example is presented for demonstration of our results.
