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

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.