在欺骗攻击下的交换非线性网络物理系统的规定的性能自适应神经事件触发控制
Liang Zhang1, Zixiang Zhao1, Zheng Ma2
1College of Control Science and Engineering, Bohai University, Jinzhou 121013, Liaoning, China.
概括
这项研究引入了适应性神经事件触发控制,用于面临干扰和攻击的交换非线性系统. 拟议的方法确保了受界信号,并消除了Zeno行为,提高了系统的稳定性和性能.
科学领域:
- 控制系统工程 控制系统工程
- 非线性系统分析 非线性系统分析
- 人工智能在控制中
背景情况:
- 交换非线性系统容易受到外部干扰和欺骗攻击,从而损害其稳定性和性能.
- 现有的控制策略往往难以同时解决未知的干扰,性能限制和通信负载减少.
研究的目的:
- 为切换非线性系统设计一个自适应的神经事件触发控制方案.
- 为了减轻未知的干扰和欺骗攻击的影响.
- 为了在有限的时间内确保规定的性能限制,并减少通信负载.
主要方法:
- 使用开关非线性干扰观察器来估计和补偿未知的干扰.
- 引入一个规定的性能函数来强制执行有限时间的性能限制.
- 开发动态事件触发机制以优化通信效率.
主要成果:
- 拟议的控制方案保证了闭环系统内的所有信号都将受到限制.
- 理论上已经证明了完全消除Zeno行为.
- 数字模拟验证了设计的控制策略的有效性和稳定性.
结论:
- 适应性神经事件触发控制方案有效地解决了交换非线性系统中的干扰和攻击.
- 该方法在有限的时间内实现规定的性能,同时最大限度地减少通信开销.
- 这些发现为提高复杂控制系统的可靠性提供了一个强大的解决方案.
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