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Resilient [Formula: see text] filter design for networked control systems under communication jamming cyberattacks.

Muhammad Ali1, Ghulam Mustafa1, Hasnain Ahmad1

  • 1Department of Electrical Engineering, Pakistan Institute of Engineering and Applied Sciences (PIEAS), Islamabad, Pakistan.

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Summary
This summary is machine-generated.

This study introduces a new filter design for networked systems facing communication jamming. The filter ensures system stability and performance without needing to know when the jammer is active, improving accuracy by over 80%.

Keywords:
[Formula: see text] filteringCommunication jamming cyberattacksCyber-physical systemsParameter-dependent Lyapunov functionsTime-varying systems

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Area of Science:

  • Control Systems Engineering
  • Networked Systems Security
  • Signal Processing

Background:

  • Communication jamming causes unpredictable delays in networked systems, complicating filter design.
  • Existing filtering methods struggle with time-varying transmission intervals caused by jamming attacks.

Purpose of the Study:

  • To develop a robust filter for networked sampled-data systems under stealthy communication jamming.
  • To guarantee asymptotic stability and H-infinity performance despite jamming.

Main Methods:

  • Utilized a polytopic framework to model uncertainties introduced by jamming.
  • Formulated analysis and synthesis conditions as linear matrix inequalities for a full-order H-infinity filter.
  • Developed a filter design that does not require prior knowledge of jammer activity.

Main Results:

  • The proposed filter guarantees asymptotic stability and H-infinity performance under stealthy jamming.
  • Achieved over 80% improvement in H-infinity performance compared to existing methods.
  • The filter's accuracy can be tuned by adjusting the polytopic model complexity.

Conclusions:

  • The proposed H-infinity filter effectively mitigates stealthy communication jamming in networked sampled-data systems.
  • The offline design and enhanced performance make it suitable for resource-constrained embedded control systems.
  • This approach offers a novel solution for robust filtering in adversarial networked environments.