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Fully distributed event-triggered secure consensus of general linear multi-agent systems under sequential scaling

Shifen Li1, Kun Liang1, Wangli He1

  • 1Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education East China University of Science and Technology, Shanghai 200237, China.

ISA Transactions
|May 7, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces a distributed event-triggered control for secure consensus in multi-agent systems, enhancing scalability and feasibility against sophisticated attacks. It ensures system stability and prevents Zeno behavior, validated by simulations.

Keywords:
Fully distributed event-triggered schemeMulti-agent systemsSecure consensusSequential scaling attacks

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Area of Science:

  • Control Systems Engineering
  • Cybersecurity
  • Robotics

Background:

  • Multi-agent systems (MAS) face secure consensus challenges.
  • Distributed control protocols are crucial for scalability.
  • Event-triggered schemes offer improved efficiency over time-triggered ones.

Purpose of the Study:

  • To address the secure consensus problem in general linear MAS.
  • To introduce a fully distributed event-triggered control scheme.
  • To analyze resilience against edge-based sequential scaling attacks.

Main Methods:

  • Formulation of an edge-based sequential scaling attack model.
  • Design of a fully distributed event-triggered control protocol.
  • Derivation of sufficient conditions for asymptotic consensus.
  • Analysis of triggering parameters and scaling factor impact.
  • Proof of Zeno behavior avoidance.

Main Results:

  • The proposed protocol ensures asymptotic consensus under attack.
  • Sufficient conditions for consensus are established based on system parameters.
  • The impact of control parameters on attack resilience is quantified.
  • The absence of Zeno behavior is mathematically proven.

Conclusions:

  • The developed event-triggered scheme enhances secure consensus in MAS.
  • The control strategy is robust against defined adversarial attacks.
  • Simulation results validate the theoretical findings for intelligent vehicles.