在受能源限制拒绝服务攻击下的传感器网络上分布式比例整体模糊状态估计
IEEE transactions on cybernetics
|August 3, 2023
概括
本研究引入了一种新的分布式模糊状态估计器,用于面临网络攻击的非线性系统. 该方法确保了系统的稳定性和性能,尽管传感器网络受到能源限制的拒绝服务攻击.
科学领域:
- 控制系统工程 控制系统工程
- 网络系统安全 网络系统安全
- 非线性系统分析 非线性系统分析
背景情况:
- 分布状态估计对于传感器网络 (SN) 中的非线性系统至关重要.
- 受到能源限制的拒绝服务 (EC-DoS) 网络攻击破坏了SN中的通信.
- 现有的方法在分布式估计中与EC-DoS攻击的动态性质作斗争.
研究的目的:
- 为非线性SNs开发一种新的分布式模糊比例整数估计器.
- 分析EC-DoS网络攻击下的估计错误动态.
- 为了保证估计误差的稳定性和加权H∞性能.
主要方法:
- 提出了采用SN拓学的分布式模糊比例积分估计器.
- 模拟估计错误动态作为一个在攻击假设下的切换系统.
- 使用平均停留时间方法进行稳定性和性能分析.
主要成果:
- 建立了足够的条件来保证估计错误的稳定性.
- 确保了分布式状态估计的加权H∞性能.
- 通过数值示例证明了拟议方案的有效性.
结论:
- 提出的分布式模糊估计器有效地处理非线性SN中的EC-DoS攻击.
- 平均停留时间方法为分析这些系统提供了一个强大的框架.
- 这项研究提供了一种可靠的解决方案,用于在网络系统中安全估计状态.
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