<p>This work addresses the passivity disturbance analysis for delayed discrete-time systems under quantized event-triggered communication and deception attacks. To ease network load and minimize communication overhead, an event-triggered mechanism and a logarithmic quantizer are introduced individually. The influences of event-triggered, quantization, stochastic terms, and cyber attacks are combined within a single unified framework and by designing a suitable Lyapunov–Krasovskii functional (LKF), we establish sufficient conditions that ensure asymptotic stability of the system. The proposed method derives stability and passivity conditions that allow larger admissible delays and stronger tolerance to disturbances, leading to improved control performance. Building on these results, a resilient event-triggered control approach is formulated using linear matrix inequalities (LMIs). In addition, when external disturbances occur, further conditions are derived to guarantee system passivity. In the end, the proposed method demonstrates its effectiveness through four numerical simulation examples, which include comparative studies that assess control accuracy, achieving an approximately 83% reduction in communication needs as compared to traditional control schemes, and maintaining computational efficiency.</p>

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Passivity Disturbance Analysis for Delayed Discrete-Time System with Stochastic Terms via Quantized Event-Triggered and Deception Attack

  • Gokulam Mariappan,
  • Muthukumar Shanmugam,
  • Vadivel Rajarathinam,
  • Nallappan Gunasekaran

摘要

This work addresses the passivity disturbance analysis for delayed discrete-time systems under quantized event-triggered communication and deception attacks. To ease network load and minimize communication overhead, an event-triggered mechanism and a logarithmic quantizer are introduced individually. The influences of event-triggered, quantization, stochastic terms, and cyber attacks are combined within a single unified framework and by designing a suitable Lyapunov–Krasovskii functional (LKF), we establish sufficient conditions that ensure asymptotic stability of the system. The proposed method derives stability and passivity conditions that allow larger admissible delays and stronger tolerance to disturbances, leading to improved control performance. Building on these results, a resilient event-triggered control approach is formulated using linear matrix inequalities (LMIs). In addition, when external disturbances occur, further conditions are derived to guarantee system passivity. In the end, the proposed method demonstrates its effectiveness through four numerical simulation examples, which include comparative studies that assess control accuracy, achieving an approximately 83% reduction in communication needs as compared to traditional control schemes, and maintaining computational efficiency.