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<p>This article addresses the challenge of achieving dynamic weighted average consensus (DWAC) in multi-agent systems (MAS) with a continuous prescribed-time control scheme. Unlike traditional average consensus approaches, where convergence time is often uncertain, our method allows the convergence time to be precisely predetermined, also ensuring robustness against network disruptions. Additionally, the proposed controller operates continuously over the prescribed time period, avoiding the chattering phenomenon that can arise in discontinuous control methods. Furthermore, the protocol is fully distributed, employing adaptive control techniques that eliminate the need for prior knowledge of the communication topology. Numerical simulations are also provided to illustrate the effectiveness of the proposed control scheme.</p>

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Distributed Robust Dynamic Weighted Average Consensus for Multi-agent Systems in Prescribed-time

  • 期刊论文

  • 发表日期：

    2025年5月14日

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  • Yuan Liu,
  • Feng Liu

摘要

This article addresses the challenge of achieving dynamic weighted average consensus (DWAC) in multi-agent systems (MAS) with a continuous prescribed-time control scheme. Unlike traditional average consensus approaches, where convergence time is often uncertain, our method allows the convergence time to be precisely predetermined, also ensuring robustness against network disruptions. Additionally, the proposed controller operates continuously over the prescribed time period, avoiding the chattering phenomenon that can arise in discontinuous control methods. Furthermore, the protocol is fully distributed, employing adaptive control techniques that eliminate the need for prior knowledge of the communication topology. Numerical simulations are also provided to illustrate the effectiveness of the proposed control scheme.