Sparse False Injection Attacks Reconstruction via Descriptor Sliding Mode Observers

• 成果类型: Article
• 署名作者: Ma, Renjie; Shi, Peng; Wu, Ligang
• 署名单位: Harbin Institute of Technology; University of Adelaide
• 刊物名称: IEEE TRANSACTIONS ON AUTOMATIC CONTROL
• ISSN/ISSBN: 0018-9286
• DOI: 10.1109/TAC.2020.3043311
• 发表日期: 2021
• 页码: 5369-5376
• 关键词: Switches; sensors; actuators; observers; Sparse matrices; CONVERGENCE; security; cyber-physical systems (CPSs); descriptor switched observers; sparse attack and state estimations; Switched systems

摘要

Cyber-physical systems (CPSs), acting as the backbone of Industrial 4.0, may suffer from false injection attacks launched by adversary for degrading system performances. In this article, we concentrate on investigating secure reconstruction of CPSs. First, the combinational attack mode is potentially identified by means of adaptive counteraction searching. Next, the sparse injection attacks are effectively reconstructed while ensuring the correctness of state estimation in the light of full-order and reduced-order switched descriptor sliding mode observers, respectively. Moreover, two numerical examples are given to verify the applicability of our theoretical derivation.