预分配时间的投影同步延迟完全四次数值的不连续神经网络与参数不确定性
Hao Pu1, Fengjun Li1, Qingyun Wang2
1School of Mathematics and Statistics, Ningxia University, Yinchuan, 750021, China.
概括
这项研究使用新型控制器实现了延迟四次元神经网络的预分配时间投影同步. 这些方法确保在预设时间内同步,独立于系统参数或初始条件,避免聊天.
科学领域:
- * * 控制理论 控制理论
- * * 神经网络 神经网络
- * 四边子数学的数学
背景情况:
- * 在复杂的动态系统中同步至关重要.
- *以前的神经网络同步的方法往往缺乏预先分配时间的能力或遭受聊天.
- *四值系统提供了更丰富的动态,但存在独特的控制挑战.
研究的目的:
- * 对于具有参数不确定性的延迟,不连续,四次数值的神经网络进行预分配时间投影同步的研究.
- * 开发新的,无聊的四控制器,以实现同步.
- * 建立新的标准,以保证在用户定义的时间内同步.
主要方法:
- * 开发一个新的预分配时间稳定定理.
- * 设计了两种类型的简单,无聊的四子控制器 (带有和没有功率定律术语).
- * 应用菲利普洛夫不连续性理论和四次方不等式技术.
主要成果:
- * 获得了新的足够的标准,以实现预先分配的时间投影同步.
- *预设的结算时间独立于系统参数和初始值.
- * 拟议的控制器有效避免聊天,并通过消除时间延迟来简化系统.
- *通用四次数值的投影系数扩展了之前的发现.
结论:
- * 建议的控制策略有效地在目标神经网络中实现预先分配的时间投影同步.
- * 该方法提供了对同步时间的精确控制,可根据特定要求进行调整.
- *这项研究推进了复杂的四次数值神经网络的控制技术,提供了诸如聊天减少等实际优势.
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