时间延迟合神经网络与稳定延迟冲动控制的同步
IEEE transactions on neural networks and learning systems
|October 11, 2023
概括
这项研究引入了使用冲动控制同步时间延迟神经网络 (NN) 的新方法. 结果表明,延迟的冲动控制可以增强复杂网络系统中的同步.
科学领域:
- 控制理论 控制理论
- 计算神经科学是一种神经科学.
- 网络科学 网络科学
背景情况:
- 分布式同步对于合神经网络 (NN) 是至关重要的.
- 时间延迟和冲动控制在实现同步方面存在挑战.
- 现有的方法通常对延迟参数有局限性.
研究的目的:
- 研究时间延迟合的NN与冲动固定控制的分布式同步.
- 开发新的方法来处理这些系统中的稳定延迟.
- 放松现有的冲动延迟约束,改进同步标准.
主要方法:
- 提出了一种新的差异不等式,用于在冲动时刻利用过去的信息.
- 使用的是平均冲动间隔 (AII) 和冲动延迟方法.
- 同步标准是通过分析冲动控制下的系统动态来得出的.
主要成果:
- 一个新的不平等在冲动时有效地提取和使用状态信息.
- 移除了冲动延迟小于系统延迟的限制.
- 获得分布式同步的轻松标准,改进现有结果.
- 有证据表明,冲动性延迟可能有助于同步.
结论:
- 拟议的冲动固定控制方法为时间延迟合的NN提供了改进和更灵活的同步标准.
- 这些发现表明,精心设计的冲动延迟可以有利于系统同步.
- 该研究通过网络模拟验证了延迟冲动控制方法的有效性.
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