首页    期刊浏览 2024年11月28日 星期四
登录注册

文章基本信息

  • 标题:Security Enhancement of Sampled-Data Systems: Zero Assignment via Generalized Sampler ⁎
  • 本地全文:下载
  • 作者:Daehan Kim ; Kunhee Ryu ; Juhoon Back
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2020
  • 卷号:53
  • 期号:2
  • 页码:3482-3487
  • DOI:10.1016/j.ifacol.2020.12.1696
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractRemote control systems have advantages in terms of flexibility and efficiency, but at the same time, they are exposed to cyber-attacks. Zero-dynamics attack is one of the most lethal model-based cyber attacks due to its stealthiness. In this paper, a new zero-dynamics attack neutralizing strategy is proposed, which is based on the generalized sampler. By using generalized sampler, the zeros of the discrete-time system can be placed at arbitrary locations, and if all zeros are placed inside the unit circle, the attack signal itself is neutralized. This strategy still works even if all the information is exposed to hackers. Furthermore, the proposed method is insensitive to shifting the intrinsic zeros comparing to the existing zero-assignment based methods. A design procedure of generalized sampler is provided, and theoretical findings are validated through the numerical simulations.
  • 关键词:KeywordsSampled-data systemsZero-dynamics attackSecurityZero assignment
国家哲学社会科学文献中心版权所有