Fault detection and pinning control of Boolean networks

Yu Wang, Yujing Yang, Yang Liu and Jungang Lou

Applied Mathematics and Computation, 2022, vol. 429, issue C

Abstract: 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.

Keywords: Fault detection; Boolean networks; Pinning control; Global stabilization (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:429:y:2022:i:c:s009630032200306x

DOI: 10.1016/j.amc.2022.127232

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