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Fully distributed secure observation and consensus for multi-agent systems with uncertain communication topology.

Yuqing Chen1, Huiling Xu1, Lewei Dong1

  • 1School of Mathematics and Statistics, Nanjing University of Science and Technology, Nanjing, 210094, China.

ISA Transactions
|November 23, 2023
PubMed
Summary

This study addresses secure observation and consensus in networked multi-agent systems (MASs) facing data injection attacks. A novel strategy ensures reliable state estimation and secure consensus despite uncertain network topology and fuzzy communication.

Keywords:
Distributed adaptive controlMulti-agent systemsState and attack estimationUncertain topology

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Area of Science:

  • Control Systems Engineering
  • Networked Systems Security
  • Distributed Artificial Intelligence

Background:

  • Networked multi-agent systems (MASs) face challenges in secure state observation and consensus due to uncertain communication topologies.
  • Dual-channel false data injection (FDI) attacks and fuzzy communication complicate system state acquisition and consensus protocol design.

Purpose of the Study:

  • To investigate the fully distributed secure observation and consensus problem in MASs.
  • To develop a strategy that addresses uncertain communication topology, dual-channel FDI attacks, and fuzzy communication.

Main Methods:

  • Designed adaptive coupling weights to eliminate the need for global topology information.
  • Constructed an auxiliary observation system using intermediate variables for simultaneous state and FDI attack estimation.
  • Proposed a distributed attack compensation controller to ensure secure consensus.

Main Results:

  • The proposed method effectively estimates system states and dual-channel FDI attacks.
  • The developed controller guarantees secure consensus among agents in MASs.
  • Simulations and experiments validate the strategy's feasibility and superiority over existing methods.

Conclusions:

  • The developed strategy provides a robust solution for secure observation and consensus in MASs under complex adversarial conditions.
  • This work enhances the security and reliability of distributed systems operating in uncertain and potentially hostile environments.