Kong Xiangshan, Gu Enguo, Liu Xinyun, Li Yalu, Wang Guanpeng
School of Mathematics and Statistics, Weifang University, Weifang, China.
Basic Teaching Department, Weifang Engineering Vocational College, Qingzhou, China.
Sci Rep. 2025 May 21;15(1):17701. doi: 10.1038/s41598-025-02737-x.
This paper studies the set stabilization of delayed Boolean control networks (DBCNs) with state inequality constraints via time-variant nonuniform sampled-data control. State inequality constraints are introduced into DBCNs. Firstly, the equivalent algebraic forms of DBCNs and the solution set of state inequality constraints are constructed via the algebraic state space representation approach, based on which an inequality constrained controllability matrix is constructed. Then, by the inequality constrained controllability matrix, new criteria are proposed for the nonuniform sampled-data inequality constrained reachability of DBCNs. Finally, a time-variant nonuniform sampled-data stabilizers are designed for DBCNs by utilizing the nonuniform sampled-data inequality constrained reachability. The effectiveness of the obtained results is verified through the cell apoptosis network.
本文研究了具有状态不等式约束的时滞布尔控制网络(DBCNs)通过时变非均匀采样数据控制的集合镇定问题。将状态不等式约束引入到DBCNs中。首先,通过代数状态空间表示方法构造了DBCNs的等价代数形式和状态不等式约束的解集,在此基础上构造了一个不等式约束可控性矩阵。然后,利用该不等式约束可控性矩阵,提出了DBCNs非均匀采样数据不等式约束可达性的新判据。最后,利用非均匀采样数据不等式约束可达性为DBCNs设计了时变非均匀采样数据镇定器。通过细胞凋亡网络验证了所得结果的有效性。