网络隐藏的随机切换电力系统的自适应模糊控制在网络攻击下.
IEEE transactions on cybernetics
|May 19, 2025
概括
本研究介绍了一种适应性模糊异步 (AFA) 控制器,用于稳定面临网络攻击的离散网络电力系统. 该 AFA 控制器确保了平均正方形的局限稳定性,即使在异步操作和隐藏的马科维安切换.
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
- 模糊逻辑应用 模糊逻辑应用
背景情况:
- 离散的网络系统容易受到网络攻击,影响稳定性.
- 控制器和系统之间的异步操作引入了复杂性.
- 随机半马科夫转换为系统分析增加了挑战.
研究的目的:
- 开发一个自适应模糊异步 (AFA) 稳定策略.
- 在离散网络隐藏的随机半马科维亚交换电源系统中应对网络攻击.
- 为了在不确定的条件下确保平均平方的局限稳定性.
主要方法:
- 使用模糊逻辑规则来模拟未知的欺骗网络攻击.
- 采用隐藏的半马科夫模型来描述异步机制.
- 基于检测模式和模糊逻辑设计一个AFA稳定控制器.
- 在稳定性分析中应用一个随机的利亚普诺夫函数.
主要成果:
- 确定了AFA控制器设计的足够标准.
- 电力系统在平均平方的局限稳定性是保证的.
- 拟议方案通过模拟来证明其有效性.
结论:
- 开发的AFA稳定方案有效地管理网络攻击和异步操作.
- 这种方法确保了离散网络电力系统的稳定性.
- 这些研究有助于对复杂系统进行安全可靠的控制.
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