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针对FDI攻击的分布式网络物理系统的输出受限的安全跟踪控制
IEEE transactions on cybernetics
|March 4, 2025
概括
本研究为网络网络物理系统 (CPS) 引入了障碍追踪错误 (BTE),以处理恶意虚假数据注入 (FDI) 攻击下的输出约束. 一个基于神经网络的新型控制器确保了系统的稳定性,并减少了通信负载.
科学领域:
- 控制系统工程 控制系统工程
- 网络物理系统安全 网络物理系统安全
- 网络化系统 网络化系统
背景情况:
- 网络网络物理系统 (CPS) 面临系统不确定性和恶意虚假数据注入 (FDI) 攻击的挑战.
- 现有的控制策略经常与输出约束作斗争,特别是当参考信号违反这些约束时.
- 假数据注入攻击旨在通过违反输出约束来故意导致系统故障.
研究的目的:
- 在外国直接投资攻击和输出限制下,解决网络CPS中的分布式跟踪问题.
- 引入一种新的障碍追踪错误 (BTE) 概念,用于管理那些参考信号可能违反约束的系统.
- 制定一个强大而有效的控制策略,以减轻外国直接投资攻击的影响,并减少通信开销.
主要方法:
- 开发一种新的指标,障碍追踪误差 (BTE),适用于传统的控制方案.
- 一个非单元有限时间控制器的设计,使用后退技术和神经网络.
- 实施事件触发量化控制策略以优化通道和执行器使用.
主要成果:
- 拟议的障碍追踪误差 (BTE) 有效地处理输出约束,即使参考信号违反它们.
- 基于神经网络的有限时间控制器证明了对恶意外国直接投资攻击的稳定性.
- 事件触发量子化控制策略显著降低了通信和执行器负担.
结论:
- 障碍追踪误差 (BTE) 提供了一种灵活的方法,可以将输出约束纳入各种控制系统.
- 开发的控制器确保了网络CPS面临不确定性和外国直接投资攻击的有限时间稳定性.
- 该研究提供了一种实用解决方案,用于安全和有效地控制联网的CPS.
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