Pinning Stabilizer Design for Probabilistic Boolean Control Networks via Condensation Digraph.

IEEE transactions on neural networks and learning systems(2022)

引用 3|浏览9
暂无评分
摘要
This article investigates the design of pinning controllers for state feedback stabilization of probabilistic Boolean control networks (PBCNs), based on the condensation digraph method. First, two effective algorithms are presented to achieve state feedback stabilization of the considered system from the perspective of condensation digraph. One is to find the desired matrix, and the other is to search for the minimum number of pinned nodes and specific pinned nodes. Then, all the mode-independent pinning controllers can be designed based on the desired matrix and pinned nodes. Several examples are delineated to illustrate the validity of the main results.
更多
查看译文
关键词
State feedback,Switches,Probabilistic logic,Uncertainty,Process control,Learning systems,Evolution (biology),Condensation digraph,feedback stabili-zation,pinning controller,probabilistic Boolean control networks (PBCNs)
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要