论文标题
非线性系统的分层攻击识别方法
A Hierarchical Attack Identification Method for Nonlinear Systems
论文作者
论文摘要
许多自主控制系统经常受到攻击，因此攻击识别方法对于安全操作至关重要。为了保留子系统的隐私并在大规模系统中实现可扩展性，识别算法不应需要全球模型知识。我们分析了一种先前提出的用于分层攻击识别的方法，该方法嵌入到具有耦合非线性动力学系统系统的分布式控制设置中。它基于从稀疏信号恢复中交换局部灵敏度信息和思想。在本文中，我们证明了该方法可以保证该方法确定识别受某些未知攻击影响的所有组件。即使考虑了一般的非线性动态系统，我们严格的理论保证也适用于实际相关的示例，这是由IEEE 〜30 Bus Power System的数值实验强调的。
Many autonomous control systems are frequently exposed to attacks, so methods for attack identification are crucial for a safe operation. To preserve the privacy of the subsystems and achieve scalability in large-scale systems, identification algorithms should not require global model knowledge. We analyze a previously presented method for hierarchical attack identification, that is embedded in a distributed control setup for systems of systems with coupled nonlinear dynamics. It is based on the exchange of local sensitivity information and ideas from sparse signal recovery. In this paper, we prove sufficient conditions under which the method is guaranteed to identify all components affected by some unknown attack. Even though a general class of nonlinear dynamic systems is considered, our rigorous theoretical guarantees are applicable to practically relevant examples, which is underlined by numerical experiments with the IEEE~30 bus power system.
