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Data-Driven-Based Event-Triggered Control for Nonlinear CPSs Against Jamming Attacks
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DOI：10.1109/TNNLS.2020.3047931.png)
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摘要
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This brief considers the security control problem for nonlinear cyber-physical systems (CPSs) against jamming attacks. First, a novel event-based model-free adaptive control (MFAC) framework is established. Second, a multistep predictive compensation algorithm (PCA) is developed to make compensation for the lost data caused by jamming attacks, even consecutive attacks. Then, an event-triggering mechanism with the dead-zone operator is introduced in the adaptive controller, which can effectively save communication resources and reduce the calculation burden of the controller without affecting the control performance of systems. Moreover, the boundedness of the tracking error is ensured in the mean-square sense, and only the input/output (I/O) data are used in the whole design process. Finally, simulation comparisons are provided to show the effectiveness of our method.
Keyword:
Jamming
Prediction algorithms
Adaptation models
Nonlinear systems
Computational modeling
Adaptive control
Security
Cyber-physical systems (CPSs)
event-triggered control
jamming attacks
model-free adaptive control (MFAC)
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7.6K
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7.2W
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