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 …

The coordinate transformation technique is a traditional method for solving the disturbance
decoupling problem (DDP) of Boolean control networks (BCNs). But under this technique …

Evolutionary computation is regarded as significant research area in computer science and
has gained popularity in recent years because of its significant advantages as compared to …

Partially-observed Boolean dynamical systems (POBDS) are a general class of nonlinear
models with application in estimation and control of Boolean processes based on noisy and …

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 …

Partially-observed Boolean dynamical systems (POBDS) are a general class of nonlinear
state-space models that provide a rich framework for modeling many complex dynamical …

Stochastic Boolean networks (SBNs) take process noise into account, so it is better to fit the
actual situation and has a wider application background than Boolean networks (BNs) …

Although swarm robotics is widely recognized as a promising approach to coordinating
large groups of robots, a general methodology for designing collective behaviors for robot …

In this paper, pinning controllability for a Boolean network (BN) under arbitrary disturbance
inputs is considered. By selecting a fraction of nodes as the pinning nodes and injecting …

Systems poised at a dynamical critical regime, between order and disorder, have been
shown capable of exhibiting complex dynamics that balance robustness to external …