对离散时间非线性系统的输出收缩分析与对RNN的应用
Yewang Gao1, Ticao Jiao1, Yuxia Li2
1School of Electrical and Electronic Engineering, Shandong University of Technology, Zibo, 255000, Shandong, PR China.
概括
本研究探讨了离散时间非线性系统中的输出收缩,将其与指数输出稳定性联系起来. 这些发现为输出收缩和增量稳定提供了条件,并适用于循环神经网络.
科学领域:
- 控制理论 控制理论 控制理论
- 非线性系统分析分析
- 动态系统是动态系统.
背景情况:
- 离散时间非线性系统需要强大的稳定性分析.
- 输出收缩和增量稳定性是关键的绩效指标.
- 了解这些属性对于系统设计和预测至关重要.
研究的目的:
- 为了研究离散时间非线性系统中的输出收缩.
- 引入和分析渐进式非对称输出稳定性.
- 建立系统属性与它们的变量对应物之间的连接.
主要方法:
- 对系统输出指数趋同的分析.
- 开发足够的条件,使输出收缩.
- 稳定性概念应用于反复的神经网络.
主要成果:
- 在输出收缩和变化系统的指数稳定性之间建立了直接联系.
- 对于输出收缩和渐进式非对称输出稳定性都产生了足够的条件.
- 输出收缩分析应用于经常性神经网络.
结论:
- 该研究为分析离散时间非线性系统的输出收缩和增量稳定性提供了理论框架.
- 衍生条件为评估系统性能提供了实际的标准.
- 对循环神经网络的应用证明了开发的方法的实用性.
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