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Published in 2019 at "Asian Journal of Control"
DOI: 10.1002/asjc.2095
Abstract: Many Boolean control networks contain independent uncontrollable subnetworks, which may affect other nodes; and the rest of the system is called subspace of sub‐controllable states. This paper investigates the problem of subspace controllability under free…
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Keywords:
controllability;
boolean networks;
controllability boolean;
subspace controllability ... See more keywords
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Published in 2020 at "Mathematical Methods in the Applied Sciences"
DOI: 10.1002/mma.6529
Abstract: This paper analyzes the stability of activation‐inhibition Boolean networks with stochastic function structures. First, the activation‐inhibition Boolean networks with stochastic function structures are converted to the form of logical networks by the method of semitensor…
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Keywords:
boolean networks;
activation inhibition;
inhibition boolean;
networks stochastic ... See more keywords
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Published in 2021 at "International Journal of Robust and Nonlinear Control"
DOI: 10.1002/rnc.5755
Abstract: In this article, the parameter learning problem is studied for stochastic Boolean networks (SBNs). Both the measure noise and the system noise are assumed to be white and modeled by sequences of Bernoulli distributed stochastic…
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Keywords:
boolean networks;
parameter learning;
stochastic boolean;
learning stochastic ... See more keywords
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Published in 2018 at "International Journal of Control, Automation and Systems"
DOI: 10.1007/s12555-017-0250-8
Abstract: In this paper, the problem of designing large-scale Boolean networks with prescribed attractors is considered. The obtained Boolean networks satisfy the attractor constraints, as well as that the size of the basins of attraction (BOAs)…
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Keywords:
large scale;
scale boolean;
boolean networks;
desired attractors ... See more keywords
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Published in 2019 at "Applied Network Science"
DOI: 10.1007/s41109-019-0243-z
Abstract: Random Boolean Networks (RBNs) are an arguably simple model which can be used to express rather complex behaviour, and have been applied in various domains. RBNs may be controlled using rule-based machine learning, specifically through…
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Keywords:
learning versus;
random boolean;
versus optimal;
boolean networks ... See more keywords
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Published in 2019 at "Journal of theoretical biology"
DOI: 10.1016/j.jtbi.2019.01.015
Abstract: In order to predict the behavior of a biological system, one common approach is to perform a simulation on a dynamic model. Boolean networks allow to analyze the qualitative aspects of the model by identifying…
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Keywords:
network;
steady states;
boolean networks;
formalizing enriching ... See more keywords
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Published in 2021 at "Nonlinear Analysis: Hybrid Systems"
DOI: 10.1016/j.nahs.2021.101076
Abstract: Abstract This paper investigates the set stability of probabilistic Boolean networks (PBNs) with switching topology. To deal with this problem, two novel concepts, set reachability and the largest invariant set family, are defined. By constructing…
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Keywords:
switching topology;
stability;
topology;
boolean networks ... See more keywords
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Published in 2017 at "Neurocomputing"
DOI: 10.1016/j.neucom.2017.04.005
Abstract: Abstract In this paper, we study the set stabilization of Boolean networks (BNs) under pinning control strategy. First, the algebraic expression of BN is obtained by using semi-tensor product of matrices. Based on the algebraic…
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Keywords:
stabilization;
pinning control;
set stabilization;
boolean networks ... See more keywords
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Published in 2017 at "Iet Control Theory and Applications"
DOI: 10.1049/iet-cta.2016.1658
Abstract: In this study, implicit Boolean networks (IBNs), which are more general than classic BNs, are proposed for the first time motivated by the river-crossing decision problem. By resorting to the admissible set, some necessary and…
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Keywords:
structure implicit;
topological structure;
bns;
boolean networks ... See more keywords
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Published in 2023 at "Chaos"
DOI: 10.1063/5.0119621
Abstract: Mathematical models rooted in network representations are becoming increasingly more common for capturing a broad range of phenomena. Boolean networks (BNs) represent a mathematical abstraction suited for establishing general theory applicable to such systems. A…
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Keywords:
phase space;
boolean networks;
equivalence;
lipschitz continuity ... See more keywords
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Published in 2022 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btac624
Abstract: SUMMARY AEON.py is a Python library for the analysis of the long-term behaviour in very large asynchronous Boolean networks. It provides significant computational improvements over the state of the art methods for attractor detection. Furthermore,…
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Keywords:
python library;
aeon python;
attractor;
boolean networks ... See more keywords