Zobrazeno 1 - 10
of 11
pro vyhledávání: '"RongPei Zhou"'
Publikováno v:
IET Control Theory & Applications, Vol 18, Iss 6, Pp 738-747 (2024)
Abstract In biological systems, impulses are often used to model mutations in gene expression. In order to describe the instantaneity of the impulse, this paper employs a hybrid‐index model of impulsive Boolean networks with state‐triggered impul
Externí odkaz:
https://doaj.org/article/d79a6c6880984c70b65dec17d33332f9
Publikováno v:
Journal of Communications and Networks. 25:253-260
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6e243a71752063556bf6877ab980f4ae
https://doi.org/10.23919/jcn.2023.000003
https://doi.org/10.23919/jcn.2023.000003
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. 31:4524-4537
In this article, we investigate the asymptotical feedback set stabilization in distribution of probabilistic Boolean control networks (PBCNs). We prove that a PBCN is asymptotically feedback stabilizable to a given subset if and only if (iff) it cons
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d1cc2213d4c63446bbfa2d2b72b1b911
https://doi.org/10.1109/tnnls.2019.2955974
https://doi.org/10.1109/tnnls.2019.2955974
Publikováno v:
Science China Information Sciences. 65
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5b7cc22166a900d692cc4611ed04420f
https://doi.org/10.1007/s11432-020-3136-3
https://doi.org/10.1007/s11432-020-3136-3
Publikováno v:
Neurocomputing. 359:341-352
Community detection, as the primary task of network analysis, provides a promising way to summarize the network structure, study the interactions of groups and obtain insight into the potential network functions. Many community detection algorithms h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8f2abe73493ddbe68b1de8b76f07ce97
https://doi.org/10.1016/j.neucom.2019.06.020
https://doi.org/10.1016/j.neucom.2019.06.020
Publikováno v:
Automatica. 106:230-241
In this paper, the set reachability and observability of probabilistic Boolean networks (PBNs) are investigated. Using a parallel extension technique, we proved that the observability problem of a PBN can be recast as a set reachability problem of an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9c3cada2032cec2174fd697bde1f5094
https://doi.org/10.1016/j.automatica.2019.05.021
https://doi.org/10.1016/j.automatica.2019.05.021
Publikováno v:
2018 13th World Congress on Intelligent Control and Automation (WCICA).
This paper solves output tracking problem of master-slave Boolean control network(MS-BCN) via a decomposition method. To ensure that the slave Boolean network(BN) tracks a constant reference signal, we search for an uncertainty control set and provid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4076800507bfa20da9ed45ce15bfe1ff
https://doi.org/10.1109/wcica.2018.8630620
https://doi.org/10.1109/wcica.2018.8630620
Autor:
Yuqian Guo, Rongpei Zhou
Publikováno v:
2018 13th World Congress on Intelligent Control and Automation (WCICA).
In this paper, we propose the concept of set stabilization in distribution of a probabilistic Boolean control network (PBCN), which determines whether the probability distribution converges to the distribution of the destination state subset under a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::020b0b6f460f233f62950ebd1a3c4beb
https://doi.org/10.1109/wcica.2018.8630338
https://doi.org/10.1109/wcica.2018.8630338
Publikováno v:
IEEE Transactions on Automatic Control. :1-1
We propose a new concept, stability in distribution (SD) of a probabilistic Boolean network (PBN), which determines whether the probability distribution converges to the distribution of the target state (namely, a one-point distributed random variabl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a6049710e321250e2df7f50734280ed6
https://doi.org/10.1109/tac.2018.2833170
https://doi.org/10.1109/tac.2018.2833170