对于延迟分数级复杂值神经网络的固定偏差稳定和同步
1School of Mathematics and Statistics, Hubei Normal University, Huangshi 435002, China.
Mathematical biosciences and engineering : MBE
|June 16, 2023
概括
本研究探讨了延迟分数顺序复杂值神经网络的固定偏差稳定和同步. 新条件确保使用线性不连续控制器的稳定性和同步性.
科学领域:
- 具有复杂价值的神经网络.
- 分数顺序的系统是分数顺序的系统.
- 控制理论 控制理论 控制理论
背景情况:
- 分数顺序系统比整数顺序系统提供了增强的建模功能.
- 复杂值的神经网络对于处理复杂数据至关重要.
- 同步和稳定是神经网络研究中的关键挑战.
研究的目的:
- 研究有延迟的分数级复杂值神经网络的固定偏差稳定和同步.
- 为了实现这些目标,开发一个线性不连续控制器.
- 通过模拟来验证拟议的理论框架.
主要方法:
- 分数计算原理的应用.
- 使用固定偏差稳定理论.
- 一个线性不连续控制器的设计和实现.
主要成果:
- 足够的条件用于固定偏差稳定.
- 获得了足够的条件来实现固定偏差同步.
- 通过两个模拟示例来证明控制器的有效性.
结论:
- 提出的方法有效地实现了固定偏差稳定和同步.
- 理论结果通过模拟示例来验证.
- 这项研究有助于控制复杂的小数序神经网络.
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