For a Boolean network with disturbances and outputs, a necessary and sufficient graphic
condition for the original disturbance decoupling is proposed, and it reveals that the outputs …

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 …

This brief studies controllability for probabilistic Boolean control network (PBCN) with time-
varying feedback control laws. The concept of feedback controllability with an arbitrary …

In this paper, we investigate the asymptotic output tracking control problem of probabilistic
Boolean control networks. Firstly, based on the largest control invariant subset and the limit …

The adaptive neurofuzzy inference system (ANFIS) is a structured multioutput learning
machine that has been successfully adopted in learning problems without noise or outliers …

This paper concentrates on the impact of stochastic function perturbation (SFP) on the set
stability of PBNs. The problem of robust set stability is divided into two cases, and they are …

Considered the stimulation of tumor necrosis factor as an impulsive control, an apoptosis
network is modeled as a state-dependent impulsive Boolean network (SDIBN). Making cell …

This brief mainly investigates the disturbance decoupling problem (DDP) of delayed
Boolean networks (DBNs) based on the network structure via designing the output-based …

This paper examines robust set stabilization in Boolean control networks (BCNs) under a
new edge removal perturbations framework. Edge removal perturbations are characterized …

This article investigates the finite-horizon optimal control (FHOC) problem of Boolean control
networks (BCNs) from a graph theory perspective. We first formulate two general problems …