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Prescribed-time consensus control of nonlinear time-delayed multi-agent systems under DoS attacks.

Shuhan Zhang1, Xiuxia Yin1, Zhiwei Gao2

  • 1Department of Mathematics, School of Mathematics and Computer Sciences, Nanchang University, Nanchang, Jiangxi 330031, People's Republic of China.

ISA Transactions
|December 18, 2025
PubMed
Summary
This summary is machine-generated.

This study ensures multi-agent systems achieve consensus within a set time, even with communication delays and denial-of-service (DoS) attacks. A new control protocol and observer guarantee secure and timely state information exchange.

Keywords:
Communication delaysDoS attacksMulti-agent systemPrescribed-time consensus

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Area of Science:

  • Control Theory
  • Networked Systems
  • Cybersecurity

Background:

  • Multi-agent systems face challenges like communication delays and denial-of-service (DoS) attacks.
  • Achieving consensus in finite or prescribed time is crucial for coordinated system behavior.

Purpose of the Study:

  • To develop a control protocol for secure prescribed-time consensus in multi-agent systems.
  • To address time-varying communication delays and general DoS attacks.
  • To ensure timely state information dissemination among agents.

Main Methods:

  • A novel control protocol incorporating integral action and time-varying delays.
  • Artstein's reducing transformation for handling time-varying delays.
  • Lyapunov stability theory and comparison principles for analysis.

Main Results:

  • Sufficient criteria for consensus convergence under DoS attacks and delays were derived.
  • A distributed observer guarantees followers obtain leader states within prescribed time.
  • The proposed methods ensure secure and robust prescribed-time consensus.

Conclusions:

  • The developed control strategy and observer effectively achieve secure prescribed-time consensus.
  • The findings are validated through numerical simulations, demonstrating robustness.
  • This research contributes to secure and efficient coordination in networked systems.