Cyber Attack Reconstruction of Nonlinear Systems via Higher-Order Sliding-mode Observer and Sparse Recovery Algorithm

被引：0
|
作者：
Nateghi, Shamila [1 ]
Shtessel, Yuri [1 ]
Barbot, Jean-Pierre [2 ]
Edwards, Christopher [3 ]
机构：
[1] Univ Alabama, Dept Elect & Comp Engn, 301 Sparkman Dr, Huntsville, AL 35899 USA
[2] ENSEA, QUARTZ Lab, EA7393, 6 Ave Ponceau, F-95014 Cergy Pontoise, France
[3] Univ Exeter, Exeter EX4 4QF, Devon, England
来源：
2018 IEEE CONFERENCE ON DECISION AND CONTROL (CDC) | 2018年
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, the outputs of a nonlinear system are divided into two groups: outputs of sensors which are protected, and outputs of sensors which are prone to get attacked. A higher-order sliding-mode observer is used to estimate the states of system and plant attacks. Equal to the number of outputs under protection, the input plant attacks can be reconstructed asymptotically, whilst the rest of the attacks can be identified by a Sparse recovery method. Finally, simulation results from a real electric power system illustrate efficacy of the proposed observer
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收藏
页码：5963 / 5968
页数：6
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