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Analysis and Control of Boolean Networks: A Semi-tensor Product Approach

TLDR
A new matrix product, called semi-tensor product of matrices, is used, which can covert the Boolean networks into discrete-time linear dynamic systems and the controllability of Boolean control networks is considered in the paper as an application.
Abstract
A Boolean network is a logical dynamic system, which has been used to describe cellular networks. Using a new matrix product, called semi-tensor product of matrices, a logical function can be expressed as an algebraic function. This expression can covert the Boolean networks into discrete-time linear dynamic systems. Similarly, the Boolean control networks can also be converted into discrete time bilinear dynamic systems. Under these forms the standard matrix analysis can be used to consider the structure and the control problems of Boolean (control) networks. After the detailed description of this new approach, the controllability of Boolean control networks is considered in the paper as an application.

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Citations
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Journal ArticleDOI

Controllability and observability of Boolean control networks

TL;DR: The controllability and observability of Boolean control networks are investigated and the controllable via two kinds of inputs is revealed by providing the corresponding reachable sets precisely.
Journal ArticleDOI

Modeling, Analysis and Control of Networked Evolutionary Games

TL;DR: After a rigorous definition of controlled NEGs, some control problems, including controllability, stabilization, and network consensus, are considered, and some verifiable conditions are presented.
Journal ArticleDOI

State Feedback Stabilization for Boolean Control Networks

TL;DR: A general control design approach is proposed when global stabilization is feasible via state feedback, and instead of designing the logical form of a stabilizing feedback law directly, it is suggested that its algebraic representation should be constructed and then converted to logical form.
Journal ArticleDOI

Image encryption algorithm based on the matrix semi-tensor product with a compound secret key produced by a Boolean network

TL;DR: Compared with other encryption algorithms, the algorithm proposed in this paper is more secure and effective, and it is also suitable for color image encryption.
Journal ArticleDOI

Set stability and set stabilization of Boolean control networks based on invariant subsets

TL;DR: This study addresses the set stability of Boolean networks (BNs) and set stabilization of Boolean control networks (BCNs), where set stability determines whether a BN converges to a given subset, whereas set stabilizability addresses the issue of whether a BCN can be stabilized to agiven subset.
References
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Hiroaki Kitano
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Probabilistic Boolean networks: a rule-based uncertainty model for gene regulatory networks

TL;DR: Probabilistic Boolean Networks (PBN) are introduced that share the appealing rule-based properties of Boolean networks, but are robust in the face of uncertainty.
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The topology of the regulatory interactions predicts the expression pattern of the segment polarity genes in Drosophila melanogaster.

TL;DR: A Boolean model of the segment polarity gene network is proposed which is able to reproduce the wild-type gene expression patterns, as well as the ectopic expression patterns observed in overexpression experiments and various mutants, and gives important insights into the functioning of the network.
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