直接数据驱动的双边合作输出共识,用于具有外部干扰的异质多代理系统
Mingxia Gu1, Abdujelil Abdurahman2, Malika Sader3
1College of Mathematics and System Sciences, Xinjiang University, Urumqi, Xinjiang 830046, China.
ISA transactions
|January 21, 2026
概括
本研究涉及使用直接数据驱动控制的多代理系统中的双边合作输出共识,消除了对系统模型的需求. 它确保稳定,尽管外部干扰和领导者跟随者相互作用.
科学领域:
- 控制理论 控制理论
- 系统工程 系统工程
- 机器人技术 机器人技术 机器人技术
背景情况:
- 在异构的多代理系统中研究双边合作产出共识 (BCOC) 问题.
- 解决外部干扰所带来的挑战,以及对无模型控制策略的需求.
研究的目的:
- 在多代理系统中为BCOC开发直接数据驱动的控制方法.
- 通过利用有限时间收集的数据,消除对准确系统模型的要求.
- 为BCOC推导特定的监管方程,并建立数据信息性条件.
主要方法:
- 采用直接数据驱动的控制,设计控制器使用采样数据而没有精确的系统模型.
- 使用辅助系统的采样数据估计领导系统矩阵.
- 构建一个分布式观察者来管理那些追随者缺乏领导者直接交互的场景.
主要成果:
- 建立了数据信息性标准,用于错误系统稳定和数据驱动的调节方程解决方案.
- 导出BCOC调节方程的特定表达式.
- 通过数值模拟来证明拟议的数据驱动控制战略的有效性.
结论:
- 拟议的直接数据驱动控制方法有效地解决了异质多代理系统与外部干扰的BCOC问题.
- 这种方法绕过了系统识别的需要,为复杂的系统提供了切实可行的替代方案.
- 经过验证的理论结果证实了数据驱动的共识战略的稳定性和适用性.
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