用动态神经网络干扰建模的交换系统进行事件触发的自适应性防干扰切换控制
IEEE transactions on neural networks and learning systems
|September 7, 2023
概括
一个新的动态事件触发自适应反干扰 (ETAAD) 控制策略有效地抑制交换系统中的多源干扰. 这种方法同时实现了干扰抑制,轨迹跟踪和通信资源节约.
科学领域:
- 控制系统工程 控制系统工程
- 适应性控制控制是适应性的
- 交换系统 交换系统
背景情况:
- 交换系统面临来自多源干扰的挑战,包括未建模和神经网络建模的动态.
- 现有的控制策略可能无法有效地处理这些复杂的干扰场景,同时节约资源.
研究的目的:
- 提出一个动态事件触发的自适应反干扰 (ETAAD) 切换控制策略.
- 在交换系统中实现同时抑制干扰,跟踪轨迹和节省通信资源.
- 为了解决既可用的未建模和不可用的动态神经网络建模的干扰.
主要方法:
- 基于系统状态的动态事件触发 (ET) 标准的开发.
- 引入一种新的动态ETA干扰估计器,用于观察模拟干扰.
- 使用ET规则和自适应干扰观察器的开关控制器的设计,具有平均停留时间限制.
主要成果:
- 为实现同时实现多源干扰抑制 (DS),轨迹跟踪和通信资源 (CR) 节约,建立了足够的条件.
- 提议的ETAAD方法有效地减轻了干扰,而不会导致Zeno现象.
- 该方法通过模拟得到验证,并被证明适用于非开关系统.
结论:
- 动态的ETAAD交换控制策略为交换系统中复杂的干扰管理提供了有效的解决方案.
- 该方法成功地平衡了系统性能 (跟踪,干扰排斥) 和通信效率.
- 拟议的方法提供了一种强大而通用的控制解决方案,适用于开关和非开关系统.
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