The use of an integrated system framework, characterized by numerous cyber/physical components (sensor measurements, signals to actuators) connected through wired/wireless networks, has not only increased the ability to control industrial systems but also the vulnerabilities to cyberattacks. State measurement cyberattacks could pose threats to process control systems since feedback control may be lost if the attack policy is not thwarted. Motivated by this, we propose three detection concepts based on Lyapunov‐based economic model predictive control (LEMPC) for nonlinear systems. The first approach utilizes randomized modifications to an LEMPC formulation online to potentially detect cyberattacks. The second method detects attacks when a threshold on the difference between state measurements and state predictions is exceeded. Finally, the third strategy utilizes redundant state estimators to flag deviations from “normal” process behavior as cyberattacks.

中文翻译：

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使用基于Lyapunov的经济模型预测控制的综合网络攻击检测和弹性控制策略

以通过有线/无线网络连接的众多网络/物理组件（传感器测量，致动器信号）为特征的集成系统框架的使用，不仅增加了控制工业系统的能力，而且还增强了网络攻击的脆弱性。状态测量网络攻击可能对过程控制系统构成威胁，因为如果不阻止攻击策略，则可能失去反馈控制。为此，我们提出了基于基于Lyapunov的非线性系统经济模型预测控制（LEMPC）的三种检测概念。第一种方法利用在线对LEMPC配方的随机修改来潜在地检测网络攻击。当状态测量和状态预测之间的差异的阈值被超过时，第二种方法检测攻击。最后，