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Secure control for remote networked stochastic systems via integral sliding mode.

Yingxin Tian1, Renjie Ma2, Yabin Gao3

  • 1School of Astronautics, Harbin Institute of Technology, Harbin 150001, China; Faulty of Computing, Harbin Institute of Technology, Harbin 150001, China.

ISA Transactions
|December 27, 2023
PubMed
Summary

This study introduces integral sliding mode control for networked stochastic systems facing false data injection attacks. The proposed method enhances system security and stability against cyber threats.

Keywords:
Attack resilienceEvent-triggered controlNetworked control systemsSliding mode controlStochastic systems

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Area of Science:

  • Control Engineering
  • Cybersecurity
  • Stochastic Systems

Background:

  • Networked control systems are vulnerable to false data injection attacks.
  • Hierarchical control structures present unique security challenges.
  • Ensuring system stability and performance under cyberattacks is critical.

Purpose of the Study:

  • To develop a secure control strategy for networked stochastic systems against false data injection attacks.
  • To design a mode-shared event-triggering controller for enhanced network security.
  • To analyze and ensure system stability using scaled small gain theory.

Main Methods:

  • Integral sliding mode control technique.
  • Mode-shared event-triggering controller design utilizing a time delay approach.
  • Input-output model with two-term approximation for time-varying delay.
  • Scaled small gain theory for stability analysis.

Main Results:

  • Sufficient conditions for desired system performance were derived.
  • Controller parameters were synthesized based on stability conditions.
  • An integral sliding mode control law was proposed for secure control.
  • Simulation examples verified the effectiveness of the proposed method.

Conclusions:

  • The proposed integral sliding mode control effectively addresses secure control in networked stochastic systems under false data injection attacks.
  • The event-triggering mechanism and stability analysis provide a robust framework for secure networked control.
  • The method demonstrates practical applicability through simulation validation.