Secure Nonlinear Sampled-Data Control System Against Stealthy Attack: Multirate Approach
成果类型:
Article
署名作者:
Nazarzadeh, Amin; Marquez, Horacio J.
署名单位:
University of Alberta
刊物名称:
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
ISSN/ISSBN:
0018-9286
DOI:
10.1109/TAC.2023.3256764
发表日期:
2023
页码:
8021-8028
关键词:
Deception attack
network analysis and control
sampled data system
stability of nonlinear system
摘要:
In this article, we provide a novel defence strategy for a nonlinear sampled-data control system under zero-dynamics attacks. In a sampled data structure, sampling zeros induced by discretization make a system vulnerable to deception attacks. we analyze the dissipativity in the zero-dynamics part of the system equipped with a multirate setup and find conditions on sampling rates to neutralize the attacker's target plan. We show that, under some mild conditions, using multirate sampling in the nonlinear sampled-data system not only preserves the dissipativity property of the intrinsic zero-dynamics but also stabilizes the extrinsic zero-dynamics induced by the sample and hold process, and as a result attenuate the effects of attacks on the system stability. Finally, a numerical example is used to illustrate the effectiveness of the proposed approach.
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