标题:Identifiability of Boolean Networks via Output Data and Initial States
作者:Yu, Yongyuan ;Feng, Jun-E
通讯作者:Feng, JunE
作者机构:[Yu, Y] School of Mathematics, Shandong University, 27 Shanda Nanlu, Jinan, Shandong, 250100, China;[ Feng, J.-E] School of Mathematics, Shandong Univ 更多
会议名称:6th International Conference on Positive Systems, POSTA 2018
会议日期:25 August 2018 through 27 August 2018
来源:Lecture Notes in Control and Information Sciences
出版年:2019
卷:480
页码:289-298
DOI:10.1007/978-3-030-04327-8_23
关键词:Boolean network; Identifiability; Logical matrix equation; Observability
摘要:In this paper, identifiability of Boolean networks is investigated via output data and initial states. The identifiability can be equivalently converted into solving a system of logical matrix equations, which are constructed from the output data. Based on which, some necessary and sufficient conditions are established to calculate structure matrices of the concerned plant. Finally, an example is discussed to show that the obtained results are effective. © 2019, Springer Nature Switzerland AG.
收录类别:EI;SCOPUS
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85060672736&doi=10.1007%2f978-3-030-04327-8_23&partnerID=40&md5=bbfd5e64787a4830b31de4ed203a0c8a
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