Identification of Boolean control networks with time delay.
Autor: | Mu T; School of Mathematics, Shandong University, No. 27 Shanda South Road, Jinan, PR China. Electronic address: mutiantian@mail.sdu.edu.cn., Feng JE; School of Mathematics, Shandong University, No. 27 Shanda South Road, Jinan, PR China. Electronic address: fengjune@sdu.edu.cn., Wang B; School of Management, Shandong University, No. 27 Shanda South Road, Jinan, PR China. Electronic address: wangbiao@sdu.edu.cn., Jia Y; College of Electrical and Information Engineering, Hunan University, No. 2 Lushan South Road, Changsha, PR China. Electronic address: jiayz@hnu.edu.cn. |
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Jazyk: | angličtina |
Zdroj: | ISA transactions [ISA Trans] 2024 Jan; Vol. 144, pp. 113-123. Date of Electronic Publication: 2023 Oct 16. |
DOI: | 10.1016/j.isatra.2023.10.016 |
Abstrakt: | This paper investigates the identification of time-delay Boolean networks (TBNs) and time-delay Boolean control networks (TBCNs) via Cheng product. According to all admissible (input-)output sequences, definition on identifiability of the (TBCN) TBN is given. Two algorithms are designed to select suitable delay parameters of the TBN and TBCN, respectively. Based on these, the original systems are divided into several subsystems. Then by virtue of observability, the criteria for identifiability of the TBN and TBCN are obtained. Moreover, the corresponding constructing processes are presented to establish the internal structures of the TBN and TBCN. Finally, two illustrative examples are given to show the feasibility of the proposed methods. Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. (Copyright © 2023 ISA. Published by Elsevier Ltd. All rights reserved.) |
Databáze: | MEDLINE |
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