非同质马尔科夫交换机的异步可控性 一般化异步布尔控制网络与确定性停留时间
IEEE transactions on computational biology and bioinformatics
|December 22, 2025
概括
本研究确定了非同质马尔科夫开关通用异步布尔控制网络 (NMHGABCNs) 的异步可控性. 这项研究使用半张力产品来推导用随机切换信号控制这些复杂网络的标准.
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:
- 布尔控制网络 (BCN) 对于模拟生物系统至关重要.
- 通用异步BCN (GABCN) 提供了更现实的建模功能.
- 非均的马尔科夫开关动态引入了网络行为的复杂性.
研究的目的:
- 为了研究非同质马尔科夫开关泛化异步布尔控制网络 (NMHGABCNs) 的异步可控性.
- 在随机切换信号下开发控制NMHGABCN的标准.
- 确保网络行为与非均的马尔科夫过程保持一致.
主要方法:
- 使用半张量积 (STP) 来导出NMHGABCNs的代数形式.
- 利用马尔科夫链模式和控制模式之间的差异来控制可控性.
- 导出异步可控性的足够和必要的标准.
主要成果:
- 确定了NMHGABCNs异步可控性的标准.
- 通过理论分析证明了衍生标准的有效性.
- 用两个说明性的例子验证了可控性方法.
结论:
- 该研究为分析和实现复杂生物网络中的异步可控性提供了强大的框架.
- 开发的标准为设计和操纵NMHGABCN提供了实际的工具.
- 这些发现有助于更深入地了解动态系统中的控制机制.
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