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Memory-event-triggered consensus control for multi-UAV systems against deception attacks.

Xiufeng Mu1, Zhou Gu1, Qing Lu1

  • 1College of Mechanical & Electronic Engineering, Nanjing Forestry University, Nanjing 210037, PR China.

ISA Transactions
|May 11, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces a memory-based event-triggered scheme (METS) for multi-unmanned aerial vehicle (UAV) systems, enhancing consensus control under deception attacks by reducing data transmission and improving resilience.

Keywords:
Consensus controlDeception attackMemory-based event-triggered schemeUnmanned aerial vehicle

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Area of Science:

  • Control Systems Engineering
  • Robotics
  • Networked Systems

Background:

  • Multi-unmanned aerial vehicle (UAV) systems face challenges in achieving consensus control due to network bandwidth limitations and susceptibility to deception attacks.
  • Existing event-triggered schemes can be sensitive to random jitter and data anomalies, impacting system performance and energy efficiency.

Purpose of the Study:

  • To develop a robust memory-based event-triggered scheme (METS) for multi-UAV consensus control.
  • To mitigate the impact of deception attacks and reduce network burden in multi-UAV systems.
  • To enhance the reliability and efficiency of UAV operations.

Main Methods:

  • Proposed a memory-based event-triggered scheme (METS) utilizing historic data information (HDI).
  • Introduced an average mechanism (AM) to filter out noise and improve the robustness of event triggering.
  • Designed a consensus control strategy with an attack observer to compensate for deception attacks.

Main Results:

  • The METS effectively reduces network bandwidth usage and unnecessary data transmission.
  • The proposed strategy addresses data mutation, information loss, and energy consumption issues in UAVs.
  • Simulation results validate the effectiveness of the consensus control strategy in achieving control objectives and system consensus despite attacks.

Conclusions:

  • The developed memory-based event-triggered consensus control strategy offers a practical solution for secure and efficient multi-UAV operations.
  • The METS enhances system resilience against deception attacks and improves overall performance.
  • The approach is validated for its effectiveness and practicality in real-world multi-UAV applications.