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Finite-time event-triggered sliding mode control for fuzzy singular systems under cyber-attacks.

Mourad Kchaou1, Rabeh Abassi1, Jerbi Houssem1

  • 1College of Engineering University of Hail Po.Box 2440, Hail, Kingdom of Saudi Arabia.

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Summary
This summary is machine-generated.

This study introduces a secure control method for Takagi-Sugeno (TS) fuzzy singular systems facing deception attacks. The approach ensures system stability and efficient resource use, validated by simulations.

Keywords:
Cyber securityFinite timeFuzzy singular systemsSBOASMC

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Area of Science:

  • Control Systems Engineering
  • Fuzzy Logic Systems
  • Cybersecurity

Background:

  • Takagi-Sugeno (TS) fuzzy singular systems are vulnerable to deception attacks, where adversaries inject false data into output and control signals.
  • Such attacks and external disturbances can compromise system stability and performance.
  • Existing control strategies may not adequately address these specific vulnerabilities or optimize resource utilization.

Purpose of the Study:

  • To develop a novel secure control scheme for TS fuzzy singular systems under deception attacks.
  • To ensure finite-time boundedness and enhance system resilience against adversarial manipulation and disturbances.
  • To optimize controller and observer gains for improved performance and resource efficiency.

Main Methods:

  • An observer-based sliding mode control (SMC) approach is employed to counteract deception attacks and disturbances.
  • An event-triggering protocol is integrated for efficient network resource management.
  • Stochastic Lyapunov theory and finite-time analysis are used to establish system stability conditions.

Main Results:

  • Sufficient conditions for finite-time boundedness of the closed-loop system are derived, covering both reaching and sliding phases.
  • The Secretary Bird Optimization Algorithm (SBOA) combined with linear matrix inequality (LMI) is utilized for optimal controller and observer gain design.
  • Simulations on a disc rolling on a surface demonstrate the proposed scheme's effectiveness and robustness.

Conclusions:

  • The proposed secure control scheme effectively mitigates deception attacks in TS fuzzy singular systems.
  • The integration of SMC, event-triggering, and SBOA-LMI optimization ensures system stability and resource efficiency.
  • The study validates the practical applicability and resilience of the developed control strategy through simulation.