通过间歇性动态事件触发的采样数据安全控制进行输出同步,用于延迟反应-扩散神经网络
IEEE transactions on cybernetics
|February 16, 2026
概括
本研究引入了一种针对反应扩散神经网络 (RDNN) 的新型间歇性动态事件触发取样数据 (IDETSD) 安全控制. 该方法在欺骗攻击和网络延迟的情况下增强了同步.
科学领域:
- 控制理论 控制理论
- 网络安全 网络安全
- 人工智能的人工智能
背景情况:
- 反应扩散神经网络 (RDNNs) 在复杂系统建模中至关重要.
- 由于延误和网络攻击,确保RDNN的安全控制是具有挑战性的.
- 现有的时间触发控制方法对复杂的攻击不那么有效.
研究的目的:
- 为RDNNs开发一个间歇性动态事件触发采样数据 (IDETSD) 的安全控制.
- 在RDNN中实现输出同步,尽管存在延迟和随机欺骗攻击.
- 提高RDNN对网络威胁的弹性.
主要方法:
- 使用动态事件触发 (ET) 机制来缓解欺骗攻击.
- 应用ET-依赖的切换莱普诺夫函数 (LF) 和不等式技术.
- 通过解决线性矩阵不等式 (LMIs) 来设计IDETSD控制器.
主要成果:
- 在随机欺骗攻击下成功实现了延迟RDNN的输出同步.
- 证明了动态ET机制相对于传统的时间触发策略的有效性.
- 通过模拟研究验证了拟议的控制方法.
结论:
- 拟议的IDETSD安全控制对于面临延迟和欺骗攻击的RDNN是有效的.
- 与时间触发方法相比,动态ET方法提供了优越的网络攻击缓解.
- 该研究为安全和同步的RDNN控制提供了一个强大的框架.
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