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Updated: Jun 12, 2025

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The HoneyComb Paradigm for Research on Collective Human Behavior
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对于具有动态领导者和时间延迟的离散时间多代理系统的弹性共识:理论和实验
IEEE transactions on cybernetics
|September 25, 2024
概括
本研究介绍了面临网络攻击的多代理系统 (MAS) 的弹性控制策略. 新的方法确保可靠的共识,即使有恶意代理和通信延迟,提高系统的稳定性.
科学领域:
- 控制理论 控制理论
- 网络安全 网络安全
- 机器人技术 机器人技术 机器人技术
背景情况:
- 网络攻击通过损害单个代理来显著挑战多代理系统 (MAS) 的共识.
- 制定弹性控制策略对于在不利条件下保持MAS功能至关重要.
研究的目的:
- 在恶意代理,动态领导者和通信延迟下的离散时间MAS中解决弹性共识问题.
- 设计控制器,确保MAS中可靠的共识和局限错误.
- 通过模拟和实验验证拟议的方法.
主要方法:
- 使用强大的图形概念设计一级MAS的弹性控制器.
- 开发一种新的图形结构和修改的控制器,以减轻受错增长.
- 引入基于估计器的控制框架,用于二级MAS.
主要成果:
- 达成共识,对于第一阶段的MAS,最终有边界误差.
- 在较大的系统中,将有限的无误增长限制到线性增长率.
- 通过对无人驾驶车辆进行模拟和实验来证明拟议方法的有效性和可行性.
结论:
- 拟议的控制策略有效地提高了离散时间MAS对网络攻击和其他干扰的弹性.
- 开发的方法在第一级和第二级系统中得到了验证,在现实场景 (如自动驾驶汽车协调) 中显示出实际适用性.
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