布尔控制网络与随机冲动干扰的非对称反稳定
IEEE transactions on cybernetics
|August 7, 2025
概括
这项研究使用混合指数模型稳定布尔控制网络随机冲动干扰. 它开发了一个反控制器设计,以确保系统与目标集高效地融合.
科学领域:
- 控制理论 控制理论
- 网络科学 网络科学
- 离散的数学 离散的数学
背景情况:
- 布尔控制网络 (BCN) 对于模拟复杂系统至关重要.
- 随机冲动性干扰对网络稳定性构成挑战.
- 现有的模型往往缺乏处理这种随机动态的方法.
研究的目的:
- 为了研究随机冲动干扰的BCN的非对称反集稳定.
- 开发一个新的框架来分析和控制这些系统.
- 设计状态反控制器,以保证对目标集的趋同.
主要方法:
- 使用混合指数模型并假设独立且相同分布 (i.i.d.) 脉冲之间的间隔. 脉冲之间的间隔.
- 将随机冲动BCN (RI-BCN) 转换为使用半张量积 (STP) 的冲动间隔驱动的概率BCN (ID-PBCN).
- 构建输入状态转换概率矩阵 (IS-TPM) 并分析混合和时间领域的趋同.
主要成果:
- 建立对非对称反集稳定性的必要和充分条件.
- 开发基于状态空间分区的状态反控制器设计算法.
- 以最少的冲动间隔向目标设置展示有效的收.
结论:
- 提出的方法有效地稳定RI-BCN随机冲动干扰.
- 控制器的设计确保了对特定目标集的非对称趋同.
- 模拟结果验证了理论发现和控制器的性能.
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