A Tractable Fault Detection and Isolation Approach for Nonlinear Systems With Probabilistic Performance
A Tractable Fault Detection and Isolation Approach for Nonlinear Systems With Probabilistic Performance
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DOI：
10.1109/tac.2015.2438415
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发表时间：
2014-08
影响因子：
6.8
通讯作者：
Peyman Mohajerin Esfahani;J. Lygeros
中科院分区：
文献类型：
--
作者：
Peyman Mohajerin Esfahani;J. Lygeros
本文提出了一个新的视角沿着与可扩展的方法来设计一个故障检测和隔离（FDI）滤波器的高维非线性系统。以往研究FDI问题的方法要么局限于线性系统，要么只适用于具有特定结构的低维动力学。相比之下，转移注意力从系统动力学的干扰输入，我们提出了一个宽松的设计角度来训练一个线性残差发生器给定的一些统计信息的干扰模式。也就是说，我们提出了一种基于优化的方法来鲁棒的滤波器相对于许多签名的非线性。然后，我们调用随机优化的最新结果，为所提出的过滤器的性能提供理论保证。最后，由IT基础设施和电力系统之间的相互作用所引入的漏洞所产生的网络物理攻击的动机，我们部署开发的理论结果来检测这样的入侵之前，电力系统的功能被破坏。
This article presents a novel perspective along with a scalable methodology to design a fault detection and isolation (FDI) filter for high dimensional nonlinear systems. Previous approaches on FDI problems are either confined to linear systems or they are only applicable to low dimensional dynamics with specific structures. In contrast, shifting attention from the system dynamics to the disturbance inputs, we propose a relaxed design perspective to train a linear residual generator given some statistical information about the disturbance patterns. That is, we propose an optimization-based approach to robustify the filter with respect to finitely many signatures of the nonlinearity. We then invoke recent results in randomized optimization to provide theoretical guarantees for the performance of the proposed filer. Finally, motivated by a cyber-physical attack emanating from the vulnerabilities introduced by the interaction between IT infrastructure and power system, we deploy the developed theoretical results to detect such an intrusion before the functionality of the power system is disrupted.