Linearization-Based Quantized Stabilization of Nonlinear Systems Under DoS Attacks

Motivated by the recent security issues in cyber-physical systems, this article studies the stabilization problem of networked control systems under denial-of-service (DoS) attacks. In particular, we consider to stabilize a nonlinear system with limited data rate via linearization. We employ a deterministic DoS attack model constrained in terms of attacks' frequency and duration, allowing us to cover a large class of potential attacks. To achieve asymptotic stabilization, we propose a resilient dynamic quantizer capable of not saturating even in the presence of packet losses caused by DoS attacks. A sufficient condition for stability is derived by restricting the average DoS frequency and duration. In addition, because of the locality of linearization, we explicitly investigate an estimate of the region of attraction, which may be reduced depending on the strength of DoS attacks. A simulation example is presented for the demonstration of our results.