Integrated cyberattack detection and resilient control strategies using Lyapunov‐based economic model predictive control
Integrated cyberattack detection and resilient control strategies using Lyapunov‐based economic model predictive control
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DOI：
10.1002/aic.17084
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发表时间：
2020-10
期刊：
影响因子：
3.7
通讯作者：
Henrique Oyama;Helen Durand
中科院分区：
文献类型：
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作者：
Henrique Oyama;Helen Durand
使用以通过有线/无线网络连接的大量网络/物理组件(传感器测量、致动器信号)为特征的综合系统框架，不仅增加了控制工业系统的能力，而且增加了对网络攻击的脆弱性。状态测量网络攻击可能对过程控制系统构成威胁，因为如果攻击策略不被挫败，反馈控制可能会丢失。受此启发，我们提出了三种基于李雅普诺夫经济模型预测控制的非线性系统检测概念。(CID：28)RST方法利用随机化的莫迪(CID：28)阳离子在线检测LEMPC配方，以潜在地检测网络攻击。第二种方法在超过状态测量和状态预测之间的偏差(CID：27)的阈值时检测攻击。最后，第三种策略利用冗余状态估计器将(CID：29)与(CID：16)正常(CID：17)进程行为的偏离视为网络攻击。
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 (cid:28)rst approach utilizes randomized modi(cid:28)cations to an LEMPC formulation online to potentially detect cyberattacks. The second method detects attacks when a threshold on the di(cid:27)erence between state measurements and state predictions is exceeded. Finally, the third strategy utilizes redundant state estimators to (cid:29)ag deviations from (cid:16)normal(cid:17) process behavior as cyberattacks.