Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/87846
Title: A weighted pair graph representation for reconstructibility of Boolean control networks
Authors: Zhang, Kuize
Zhang, Lijun
Su, Rong
Keywords: Boolean Control Network
Reconstructibility
DRNTU::Engineering::Electrical and electronic engineering
Issue Date: 2016
Source: Zhang, K., Zhang, L., & Su, R. (2016). A weighted pair graph representation for reconstructibility of Boolean control networks. SIAM Journal on Control and Optimization, 54(6), 3040-3060. doi:10.1137/140991285
Series/Report no.: SIAM Journal on Control and Optimization
Abstract: A new concept of weighted pair graphs (WPGs) is proposed to represent a new reconstructibility definition for Boolean control networks (BCNs), which is a generalization of the reconstructibility definition given in Definition 4 in [E. Fornasini and M. Valcher, IEEE Trans. Automat. Control, 58 (2013), pp. 1390--1401]. Based on the WPG representation, an effective algorithm for determining the new reconstructibility notion for BCNs is designed with the help of the theories of finite automata and formal languages. We prove that a BCN is not reconstructible iff its WPG has a complete subgraph. In addition, we prove that a BCN is reconstructible in the sense of Definition 4 in [E. Fornasini and M. Valcher, IEEE Trans. Automat. Control, 58 (2013), pp. 1390--1401] iff its WPG has no cycles, which is simpler to check than the condition in Theorem 4 in [E. Fornasini and M. Valcher, IEEE Trans. Automat. Control, 58 (2013), pp. 1390--1401].
URI: https://hdl.handle.net/10356/87846
http://hdl.handle.net/10220/46850
ISSN: 0363-0129
DOI: 10.1137/140991285
Schools: School of Electrical and Electronic Engineering 
Rights: © 2016 Society for Industrial and Applied Mathematics (SIAM). This paper was published in SIAM Journal on Control and Optimization and is made available as an electronic reprint (preprint) with permission of Society for Industrial and Applied Mathematics (SIAM). The published version is available at: [http://dx.doi.org/10.1137/140991285]. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles

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