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基于混合零和游戏的记忆事件触发了对异质MAS的合作控制,以对抗DoS攻击
IEEE transactions on cybernetics
|March 13, 2024
概括
本研究介绍了一种基于内存的事件触发的合作自适应控制,用于面临拒绝服务 (DoS) 攻击的异质非线性多代理系统 (MAS),使用多人混合零和 (ZS) 游戏. 该方法确保了系统稳定性和跟踪性能,尽管有攻击.
科学领域:
- 控制系统工程 控制系统工程
- 人工智能的人工智能
- 网络安全 网络安全
背景情况:
- 异质非线性多代理系统 (MAS) 容易受到拒绝服务 (DoS) 攻击,破坏合作控制.
- 传统的控制策略与动态网络拓和外部干扰作斗争.
- 需要事件触发机制来优化不确定条件下的通信和响应.
研究的目的:
- 为在DoS攻击下的异质非线性MAS开发一个由内存事件触发的合作自适应控制策略.
- 为解决 MAS 中的多人混合零和 (ZS) 游戏问题,使用切换拓和基于节点的 DoS 攻击.
- 为了确保系统的稳定性和领导者遵循的性能,尽管间歇性攻击.
主要方法:
- 基于神经网络的强化学习方案被用来找到多人混合ZS游戏的纳什平衡.
- 建议使用历史数据的基于记忆的事件触发机制来防止错误触发.
- 利亚普诺夫稳定理论用于分析系统的边界性和控制性能.
主要成果:
- 异质MAS中的所有信号都被证明在拟议的控制策略下受到限制.
- 追随者在没有攻击期间实现轨迹跟踪,并在攻击期间实现稳定/合作控制.
- 基于内存的事件触发机制有效地减轻了DoS攻击和外部因素的影响.
结论:
- 建议的基于混合ZS游戏的内存事件触发的合作自适应控制策略对DoS攻击下的异质MAS有效.
- 神经网络,事件触发和切换拓的集成提供了强大的控制解决方案.
- 模拟结果验证了战略保持稳定性和实现合作控制目标的能力.
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