分数顺序异质多代理系统的内存融合采样数据控制,受到DoS攻击和时间延迟:一个弹性二元采样数据方案
IEEE transactions on cybernetics
|March 4, 2025
概括
本研究介绍了面临拒绝服务攻击的分数顺序多代理系统的弹性采样数据控制. 新方案调整了采样时间,增强了网络连接,尽管存在延迟和攻击,但仍能达成共识.
科学领域:
- 控制系统工程 控制系统工程
- 网络化系统 网络化系统
- 分数微积分的计算.
背景情况:
- 分数顺序 (FO) 多代理系统 (MAS) 越来越复杂,需要强大的控制策略.
- 不相同的拒绝服务 (DoS) 攻击和时间延迟对MAS的稳定性和性能构成重大挑战.
- 传统的周期性采样方法在动态攻击场景下的异质系统中往往是不够的.
研究的目的:
- 对异质FO MASs进行道依赖的弹性二进制采样数据控制方案的研究和开发.
- 为了应对非相同的DoS攻击和采样数据控制系统的时间延迟所带来的挑战.
- 在异步DoS攻击下增强FO MAS的连接性和共识性表现.
主要方法:
- 一个取决于道的弹性二进制采样数据方案,根据确认和两个几何渐进调整采样周期.
- 分析采样间隔具有异质的上下界限,受到DoS攻击系数的约束.
- 使用异质的内存融合控制器和分布式异步梯度算法来达成共识.
- 定义和观察联合恢复时间序列,以测量DoS攻击下的网络拓恢复.
主要成果:
- 设计的方案在采样周期中实现了更细微的调整,导致平均采样率低于传统方法.
- 在DoS攻击下恢复通信网络连接的采样方案的有效性得到证明.
- 在具有时间延迟的异质FO MAS中,使用拟议的控制策略实现了共识.
- 理论分析通过展示的说明性示例来验证.
结论:
- 开发的采样数据控制方案有效地管理在DoS攻击和时间延迟下异构的FO MAS.
- 适应性采样策略增强了系统弹性和网络连接恢复.
- 这些发现有助于推进复杂的网络系统的可靠控制技术.
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