Resilient model-free adaptive control for cyber-physical systems against jamming attack

Abstract This paper considers the resilient tracking control problem for nonlinear unknown cyber-physical systems (CPSs) subject to jamming attacks in the wireless transmission channel. First, a novel model-free adaptive control (MFAC) framework against jamming attacks is established. A Bernoulli distribution process is used to describe the happen behavior of jamming attacks. Second, a n-steps predictive compensation algorithm is designed in the controller side to reduce the effect of jamming attacks. Then, the model-free adaptive controller is designed such that the tracking error of the nonlinear system is stochastic stable, and all the analysis are based on input/output data. Simulation results demonstrate the effectiveness of our approach.

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