A celebrated and controversial hypothesis suggests that some biological systems—parts,
aspects, or groups of them—may extract important functional benefits from operating at the …

Boolean network models are one of the simplest models to study complex dynamic behavior
in biological systems. They can be applied to unravel the mechanisms regulating the …

Inspired by empirical studies of networked systems such as the Internet, social networks,
and biological networks, researchers have in recent years developed a variety of techniques …

The availability of large data sets has allowed researchers to uncover complex properties
such as large-scale fluctuations and heterogeneities in many networks, leading to the …

The controllability and observability of Boolean control networks are investigated. After a
brief review on converting a logic dynamics to a discrete-time linear dynamics with a …

A new matrix product, called semi-tensor product of matrices, is reviewed. Using it, a matrix
expression of logic is proposed, where a logical variable is expressed as a vector, a logical …

The interactions between proteins, DNA, and RNA in living cells constitute molecular
networks that govern various cellular functions. To investigate the global dynamical …

This study addresses the set stability of Boolean networks (BNs) and set stabilization of
Boolean control networks (BCNs). Set stability determines whether a BN converges to a …

Motivation: As the study of information processing in living cells moves from individual
pathways to complex regulatory networks, mathematical models and simulation become …

This paper proposes a new hybrid-driven (HD) sampling control strategy to investigate the
finite-time (FT) H∞ synchronization issue for complex networks with stochastic cyber attacks …