对于具有马尔科夫包损失的异质多代理系统的分布式输出共识
IEEE transactions on cybernetics
|February 27, 2026
概括
本研究探讨了与相关的数据包损失相关的异质线性多代理系统 (MAS) 中的平均平方输出共识. 新的控制方案确保了尽管没有i.i.d.的共识,但仍然达成共识. 数据包下降,提高了系统的可靠性.
科学领域:
- 控制理论 控制理论
- 网络化系统 网络化系统
- 分布式系统 分布式系统
背景情况:
- 调查异质线性多元代理系统 (MAS) 的平均平方输出共识.
- 解决随机数据包丢失通道所带来的挑战,超越独立和相同分布 (i.i.d.) 的范围. 这些都是假设,假设.
- 模型使用离散时间马尔科夫过程来捕捉时间相关性来模拟数据包损失.
研究的目的:
- 为MAS运行随机数据包丢失通道并具有时间相关性而开发新的控制方案.
- 在非 i.i.d 条件下的异质线性系统中实现平均平方输出共识. 包丢失的情况.
- 确保可靠的分布式观察者共识,尽管通信不确定性.
主要方法:
- 考虑两个数据包丢失场景:相同的和非相同的.
- 为相同的数据包损失推导出分析和数值共识条件.
- 采用边缘拉普拉斯理论用于非相同的数据包损失,以将损失过程与拓解.
- 设计基于输出调节的控制器,以实现平均平方输出共识.
主要成果:
- 提出了共识条件,揭示了数据包丢失率,通信拓和系统动态的相互作用.
- 为相同的数据包损失提供计算可处理的数值条件.
- 开发控制器,保证对相同和非相同的数据包丢失场景的平均平方输出共识.
- 通过数值模拟验证发现.
结论:
- 在复杂的数据包丢失条件下,成功地解决了异质MAS的平均平方输出共识问题.
- 证明了新型控制方案在达成对马科维亚数据包丢失通道的共识方面的有效性.
- 强调考虑数据包丢失的时间相关性对于可靠的控制系统设计的重要性.
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