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Event-triggered stabilization for networked control systems under random occurring deception attacks.

Dong Xu1, Xinling Li1, Weipeng Tai1,2

  • 1Research Institute of Information Technology, Anhui University of Technology, Ma'anshan 243000, China.

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|January 18, 2023
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Summary
This summary is machine-generated.

This study introduces a novel event-triggered scheme (ETS) for networked control systems, enhancing stability against deception attacks by reducing trigger frequency. The new method ensures system stability in the mean square, even with uncertain attack probabilities.

Keywords:
deception attacksevent-triggered controllyapunov functionnetworked control systemsstabilization

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Area of Science:

  • Control Engineering
  • Networked Systems
  • Cybersecurity

Background:

  • Networked control systems (NCS) face vulnerabilities from deception attacks.
  • Existing event-triggered schemes (ETS) may not optimally handle stochastic attack behaviors.

Purpose of the Study:

  • To design a robust event-triggered stabilization scheme for NCS under deception attacks.
  • To reduce the frequency of system triggers while maintaining stability.

Main Methods:

  • A new switched event-triggered scheme (ETS) incorporating the last triggering time.
  • Utilizing a piecewise-defined Lyapunov function to analyze system stability.
  • Modeling deception attacks as a Bernoulli-distributed stochastic variable with probability uncertainty.

Main Results:

  • The proposed ETS reduces trigger frequency compared to existing methods.
  • A sufficient condition for exponential mean-square stability under deception attacks is derived.
  • A joint design for trigger and feedback-gain matrices is presented.

Conclusions:

  • The novel ETS effectively enhances the stability of NCS against deception attacks.
  • The method provides a practical approach for designing secure and efficient networked control systems.