Asymptotical Stabilization for Probabilistic Boolean Control Networks Under Operators and Inputs Constraints
成果类型:
Article
署名作者:
Zhong, Jie; Pan, Qinyao; Xu, Wenying; Liu, Yang
署名单位:
Zhejiang Normal University; Southeast University - China
刊物名称:
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
ISSN/ISSBN:
0018-9286
DOI:
10.1109/TAC.2022.3203019
发表日期:
2023
页码:
4313-4320
关键词:
Asymptotical stabilization
Boolean networks (BNs)
inputs constraints
operators constraints
pinning control
摘要:
In this article, asymptotical stabilization of probabilistic Boolean control networks with a switching signal being an independent identically distributed process has been systematically studied. Here, the binary operators connecting logical functions of state nodes and pinning controllers are constrained to certain sets. By establishing matrix representation of operators and input constraints, several criteria for asymptotical stabilization have been established. The proposed asymptotical stabilization extends the results of Boolean networks under static pinning control, which is more practical in real-word control design systems. Finally, simulations are given to verify the effectiveness of the obtained theoretical results.