Linearization-Based Quantized Stabilization of Nonlinear Systems Under DoS Attacks

Rui Kato, Ahmet Cetinkaya, Hideaki Ishii

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

Motivated by recent security issues in cyber-physical systems, this technical note 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 not to saturate 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 demonstration of our results.

Original languageEnglish
JournalIEEE Transactions on Automatic Control
DOIs
Publication statusAccepted/In press - 2021
Externally publishedYes

Keywords

  • Communication channels
  • Denial-of-service attack
  • DoS attacks
  • Frequency control
  • linearization
  • Networked control systems
  • Nonlinear systems
  • nonlinear systems
  • Packet loss
  • Quantization (signal)
  • quantized control
  • stability analysis

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering

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