莱维超扩散Sel'kov-Schnakenberg模型的混合控制策略:图灵模式的形成,转换和消灭
Peng Zhu1, Min Xiao1, Tingwen Huang2
1College of Automation and Artificial Intelligence, Nanjing University of Posts and Telecommunications, Nanjing 210023, China.
Chaos (Woodbury, N.Y.)
|July 23, 2025
概括
这项研究引入了一种Lévy超扩散 Sel.
科学领域:
- 复杂的系统复杂的系统.
- 数学生物学 数学生物学
- 非线性动力学是一种非线性动力学.
背景情况:
- 塞尔科夫-施纳肯伯格模型展示了自我组织,但通常使用正常的自我扩散.
- 现有的模型忽略了交叉扩散和异常扩散,限制了生物现实性.
- 在二维反应扩散系统中控制图灵模式仍然是一个重大挑战.
研究的目的:
- 开发和分析一个包含交叉扩散的莱维超扩散Sel'kov-Schnakenberg模型.
- 建立图灵模式形成的条件并分析它们的结构.
- 提出并验证用于调节2D系统中的图灵模式的混合控制策略.
主要方法:
- 分析特征根分布以确定稳定性和图灵分叉条件.
- 提取振幅方程以精确定义图灵模式结构.
- 使用两个参数开发和数值模拟混合控制策略.
主要成果:
- 为非空间模型推导稳定性条件,为空间模型推导图灵模式形成条件.
- 确定了莱维超扩散指数对模式形成的影响.
- 通过数值模拟证明混合控制策略有效调节图灵模式 (形成,转换,消灭).
结论:
- 莱维超扩散模型与交叉扩散提供了一个更现实的框架来研究自我组织.
- 拟议的混合控制策略提供了对复杂的时空模式的精确调节.
- 这些发现在理解和操纵生物模式形成过程 (如形态发生) 中具有潜在的应用.
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