Fault detection and pinning control of Boolean networks

被引：28
|
作者：
Wang, Yu [1 ]
Yang, Yujing [1 ]
Liu, Yang [1 ,2 ,3 ]
Lou, Jungang [4 ]
机构：
[1] Zhejiang Normal Univ, Coll Math & Comp Sci, Jinhua 321000, Zhejiang, Peoples R China
[2] Zhejiang Normal Univ, Coll Math Med, Jinhua 321004, Zhejiang, Peoples R China
[3] Zhejiang Normal Univ, Key Lab Intelligent Educ Technol & Applicat Zheji, Jinhua 321004, Zhejiang, Peoples R China
[4] Huzhou Univ, Sch Informat Engn, Huzhou 313000, Peoples R China
来源：
APPLIED MATHEMATICS AND COMPUTATION | 2022年 / 429卷
关键词：
Fault detection; Boolean networks; Pinning control; Global stabilization; OBSERVABILITY; CONTROLLABILITY; SYNCHRONIZATION; STABILITY;
D O I：
10.1016/j.amc.2022.127232
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
This paper addresses the fault detection of Boolean networks (BNs) using semi-tensor product (STP) of matrices. We first introduce the concept of meaningful faults, and give an equivalent condition for fault sequence to be detectable. Next, an algorithm is presented to determine whether it occurs a fault and identify the specific location of the fault. Further, structure matrix of the faulty BNs can be derived. In order to estimate or reduce the impact of the fault on the BN, the global stabilization of BNs is investigated through partial pinning control. Finally, examples are given to illustrate the validity of the given results. (C) 2022 Elsevier Inc. All rights reserved.
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页数：8
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