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Related Experiment Videos

Distributed resilient consensus for heterogeneous fractional-order multi-agent systems against hybrid attacks.

Yuhan Yang1, Daduan Zhao2, Jin You1

  • 1School of Control Science and Engineering, Shandong University, Jinan, 250061, China.

ISA Transactions
|June 16, 2026
PubMed
Summary

This study introduces a fractional-order control framework for heterogeneous multi-agent systems (MASs) facing hybrid cyber-attacks. It enhances consensus protocols and system stability against accumulated attack effects.

Keywords:
ConsensusFractional control systemsHybrid attacksMulti-agent systemsResilient control

Related Experiment Videos

Area of Science:

  • Control Theory
  • Cyber-Physical Systems
  • Networked Systems

Background:

  • Consensus in multi-agent systems (MASs) is vulnerable to cyber-attacks targeting connectivity and information integrity.
  • Fractional-order dynamics exacerbate attack effects due to their hereditary property, complicating stability analysis and protocol design.
  • Heterogeneous MASs present unique challenges in achieving robust consensus under adversarial conditions.

Purpose of the Study:

  • To investigate heterogeneous fractional-order MASs under hybrid attacks (Denial-of-Service and deception).
  • To develop a fractional-order attack-resilient control framework ensuring leader-following consensus.
  • To analyze the influence of fractional order on attack tolerance and system performance.

Main Methods:

  • Design of a distributed resilient control protocol.
  • Integration of fractional-order state observers and attack estimators.
  • Derivation of sufficient conditions from a switching perspective, establishing an order-dependent attack tolerance condition.

Main Results:

  • A fractional-order attack-resilient control framework was proposed and validated.
  • Leader-following consensus with cooperative uniformly ultimately bounded (UUB) was achieved.
  • An order-dependent attack tolerance condition was established, highlighting the impact of fractional order.

Conclusions:

  • The proposed framework effectively ensures consensus in fractional-order MASs under hybrid attacks.
  • The fractional order significantly influences the system's attack tolerance and overall performance.
  • The study provides a robust approach for designing resilient control systems in complex networked environments.