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

Shamila Nateghi; Yuri Shtessel; Jean-Pierre Barbot; Christopher Edwards

Conference papers

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

Shamila Nateghi ¹ Yuri Shtessel ¹ Jean-Pierre Barbot ^{2, 3} Christopher Edwards ⁴

1 UAH - University of Alabama in Huntsville

2 QUARTZ - Laboratoire QUARTZ

3 LS2N - Laboratoire des Sciences du Numérique de Nantes

4 University of Exeter

Abstract : In this paper, the outputs of a nonlinear system are divided into two groups: outputs of sensors which areprotected, and outputs of sensors which are prone to get attacked. A higher-order sliding-mode observer is used to estimate the states ofsystem and plantattacks. 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 byaSparse recovery method. Finally, simulation results froma real electric power system illustrateefficacy of theproposed observer

Keywords : Cyber Attack Sparse Recovery

Document type :

Conference papers

Domain :

Engineering Sciences [physics] / Automatic

Complete list of metadata

https://hal.archives-ouvertes.fr/hal-02559280
Contributor : Jean-Pierre Barbot <>
Submitted on : Thursday, April 30, 2020 - 11:57:21 AM
Last modification on : Tuesday, January 5, 2021 - 4:26:08 PM

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

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

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