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神经适应有限时间共识跟踪单个多代理系统与执行器攻击
IEEE transactions on neural networks and learning systems
|February 16, 2026
概括
本研究针对面临执行器攻击的单一多代理系统的有限时间共识跟踪 (FTCT). 一个新的神经适应性协议确保了系统稳定性和精确的跟踪,尽管复杂的网络威胁.
科学领域:
- 控制理论 控制理论
- 网络化系统 网络化系统
- 人工智能的人工智能
背景情况:
- 执行器攻击对复杂的网络系统构成重大威胁,损害其稳定性和性能.
- 具有不同时间延迟的单一多代理系统在实现协调控制方面存在独特的挑战.
- 有限时间共识跟踪 (FTCT) 对于确保代理人之间迅速和稳定的协议至关重要.
研究的目的:
- 调查在执行器攻击下单一多代理系统的有限时间共识跟踪 (FTCT) 控制问题.
- 制定一个强大的控制策略,能够处理时间变化的延迟和外部干扰.
- 确保网络系统的稳定性和可靠性,尽管有敌对行动.
主要方法:
- 建议使用状态观察器来近似追随器代理状态,并在执行器攻击下设计滑动模式表面.
- 一个新的神经适应分布式FTCT协议和执行器攻击估计协议是使用辐射基函数神经网络设计的.
- 带有分区策略的滑动模式控制用于分析单一多代理系统中的FTCT.
主要成果:
- 在有限的时间间隔内,在单一的多代理系统中提供了足够的条件和解决FTCT的策略.
- 拟议的神经适应性协议有效估计执行器攻击,并确保共识跟踪.
- 模拟示例验证了拟议的FTCT控制策略的有效性.
结论:
- 开发的FTCT控制策略对于容易受到执行器攻击的单一多代理系统是有效的.
- 神经网络和滑动模式控制的组合为复杂的网络系统提供了强大的解决方案.
- 该研究为安全和高效的多代理系统控制提供了理论框架和实践验证.
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