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Event-triggered output feedback tracking against random deception attacks for nonlinear systems.

Zebin Wu1, Yanjun Shen2

  • 1College of Electrical Engineering and New Energy, China Three Gorges University, Yichang, 443000, Hubei, China.

ISA Transactions
|March 28, 2025
PubMed
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This study introduces event-triggered output feedback tracking control for nonlinear systems facing random deception attacks. Event-triggered mechanisms and filters enhance control system security and resource efficiency against false data injection.

Area of Science:

  • Control Engineering
  • Cybersecurity
  • Nonlinear Systems

Background:

  • Nonlinear systems are vulnerable to random deception attacks injecting false data.
  • Existing control methods may not efficiently handle network resource usage or attack impacts.

Purpose of the Study:

  • To develop an event-triggered output feedback tracking control scheme for nonlinear systems under random deception attacks.
  • To enhance system security, reduce network load, and ensure tracking performance.

Main Methods:

  • Implementing event-triggered mechanisms in sensor-to-controller (SC) and controller-to-actuator (CA) channels.
  • Designing input and output filters to mitigate attack effects and adapt the backstepping method.
  • Utilizing Lyapunov stability theory to derive sufficient conditions for tracking effectiveness.
Keywords:
Event-triggered controlInput/output filterNonlinear systemsRandom deception attackTracking control

Related Experiment Videos

Main Results:

  • The proposed event-triggered control scheme effectively mitigates random deception attacks.
  • Network resource utilization and attack frequency are reduced.
  • Tracking performance is maintained under attack scenarios.

Conclusions:

  • The developed control strategy is valid and practical for nonlinear systems facing cyber-attacks.
  • Event-triggered mechanisms and filtering are effective in enhancing system resilience and performance.