用作欺骗攻击的网络控制系统的安全控制:一个随机模型预测控制方法
Zhaoke Ning1, Xinglian Zhou2, Juncong Yang3
1Key Laboratory of Advanced Spatial Mechanism and Intelligent Spacecraft, Ministry of Education, School of Aeronautics and Astronautics, Sichuan University, Chengdu 610207, China.
ISA transactions
|December 30, 2025
概括
本研究介绍了一种强大的安全控制方法,用于面临随机欺骗攻击的网络控制系统. 该方法使用分布式强大的优化和机会约束来提高系统安全性和性能.
科学领域:
- 控制工程 控制工程 控制工程
- 网络安全 网络安全
- 优化理论 优化理论
背景情况:
- 网络控制系统容易受到复杂的欺骗攻击.
- 现有的方法经常与未知边界的随机攻击信号作斗争.
研究的目的:
- 在随机欺骗攻击下为线性网络控制系统 (LNCS) 设计创新的安全控制方法.
- 通过使用机会约束来减轻安全控制设计中的保守主义.
主要方法:
- 引入了一个模两可的设置,以使用平均协方差约束来描述潜在的欺骗信号.
- 在系统状态和控制变量上制定了机会约束.
- 应用了分布稳定的优化,用于确定性的凸重制.
- 利用随机模型预测控制 (SMPC) 来实现递归可行性和趋同.
主要成果:
- 成功地解决了未知边界的随机欺骗攻击.
- 在安全控制设计中减轻了保守主义.
- 证明了受控系统的递归可行性和趋同.
- 通过对直流-直流增压转换器的模拟来验证方法的优势.
结论:
- 建议的安全控制方法有效地提高了LNCS对随机欺骗攻击的弹性.
- 整合模两可的集合,机会限制和SMPC为稳健的控制系统设计提供了一个有希望的方向.
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