延迟布尔控制网络的采样数据稳定与状态不平等约束
Xiangshan Kong1, Enguo Gu2, Xinyun Liu1
1School of Mathematics and Statistics, Weifang University, Weifang, China.
Scientific reports
|May 21, 2025
概括
本研究针对使用采样数据控制的状态不平等约束的延迟布尔控制网络 (DBCN) 的集稳定. 开发了新的标准和稳定剂,用于不平等受约束的可达性,在细胞亡网络模型中进行验证.
科学领域:
- 控制理论 控制理论
- 网络科学 网络科学
- 计算生物学 计算生物学
背景情况:
- 延迟布尔控制网络 (DBCN) 对于模拟复杂的生物系统至关重要.
- 国家不平等约束对于现实的系统行为至关重要,但在DBCN中构成重大挑战.
- 现有的控制方法往往难以有效地结合时间延迟和状态约束.
研究的目的:
- 为具有状态不平等约束的DBCN开发新的集稳定策略.
- 为了加强网络管理,引入时间变量非统一的采样数据控制.
- 建立在延迟网络中对不平等受约束可访问性的新标准.
主要方法:
- 利用代数状态空间表示来导出DBCN的等效代数形式.
- 构建了一个不平等受约束的可控性矩阵来分析系统可达性.
- 根据衍生可达性标准开发了基于时间变量的非均采样数据稳定器.
主要成果:
- 为非统一的采样数据不平等性提出了新的标准,限制了DBCN中的可访问性.
- 成功设计了可变时间的非均采样数据稳定器.
- 使用细胞亡网络模型证明了拟议方法的有效性.
结论:
- 开发的方法为在状态不平等约束下DBCN的设置稳定提供了强大的框架.
- 时间变量非统一的采样数据控制对于管理有约束的延迟网络有效.
- 这些发现对复杂的生物网络的控制和分析有影响.
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