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• W2997377324 abstract "In this paper a novel approach to co-design controller and attack detector for nonlinear cyber-physical systems affected by false data injection (FDI) attack is proposed. We augment the model predictive controller with an additional constraint requiring the future-in some steps ahead-trajectory of the system to remain in some time-invariant neighborhood of a properly designed reference trajectory. At any sampling time, we compare the real-time trajectory of the system with the designed reference trajectory, and construct a residual. The residual is then used in a nonparametric cumulative sum (CUSUM) anomaly detector to uncover FDI attacks on input and measurement channels. The effectiveness of the proposed approach is tested with a nonlinear model regarding level control of coupled tanks." @default.
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• W2997377324 date "2019-11-01" @default.
• W2997377324 modified "2023-09-27" @default.
• W2997377324 title "A Physics-Based Attack Detection Technique in Cyber-Physical Systems: A Model Predictive Control Co-Design Approach" @default.
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• W2997377324 doi "https://doi.org/10.1109/anzcc47194.2019.8945588" @default.
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