标题:Input observability of Boolean control networks
作者:Yu, Yongyuan; Wang, Biao; Feng, Jun-e
作者机构:[Yu, Yongyuan; Wang, Biao; Feng, Jun-e] Shandong Univ, Sch Math, Jinan 250100, Shandong, Peoples R China.
通讯作者:Feng, June;Feng, JE
通讯作者地址:[Feng, JE]Shandong Univ, Sch Math, Jinan 250100, Shandong, Peoples R China.
来源:NEUROCOMPUTING
出版年:2019
卷:333
页码:22-28
DOI:10.1016/j.neucom.2018.12.014
关键词:Boolean control network; Input observability; Invertibility;; Nonsingularity; Semi-tenor product of matrices
摘要:This paper devotes to the input observability, which also is called the nonsingularity or left invertibility, of general Boolean control networks. First, using graphic approach converts the global nonsingularity into pointwise finite-step nonsingularity. Subsequently, a series of matrix-form criterions are given to identify the nonsingularity, under which suitable inverse Boolean control networks can be designed. Finally, one application and one numerical example are used to illustrate the feasibility and validity of the obtained results. (C) 2018 Elsevier B.V. All rights reserved.
收录类别:EI;SCOPUS;SCIE
Scopus被引频次:2
资源类型:期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85059664482&doi=10.1016%2fj.neucom.2018.12.014&partnerID=40&md5=b0470e6e31dadf9654943cdf653805ed
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