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

X Wang, S Gao - Information sciences, 2020 - Elsevier
In this paper, a chaotic image encryption algorithm based on the matrix semi-tensor product
(STP) with a compound secret key is designed. First, a new scrambling method is designed …

Recent developments of Boolean networks with switching and constraints

X Ding, J Lu, H Li, Y Liu - International Journal of Systems Science, 2023 - Taylor & Francis
A switched Boolean network (SBN) is an important model for describing hybrid phenomena
in gene regulatory networks, and it has received increasing attention since the development …

Weak stabilization of Boolean networks under state-flipped control

Z Liu, J Zhong, Y Liu, W Gui - IEEE Transactions on Neural …, 2021 - ieeexplore.ieee.org
In this brief, stabilization of Boolean networks (BNs) by flipping a subset of nodes is
considered, here we call such action state-flipped control. The state-flipped control implies …

A unified finite-/fixed-time synchronization approach to multi-layer networks

Y Xu, X Wu, B Mao, C Xie - … on Circuits and Systems II: Express …, 2020 - ieeexplore.ieee.org
This brief investigates synchronization of multi-layer networks by a new unified finite-/fixed-
time (FTT/FXT) control approach. First, a new unified FTT/FXT stability theorem of dynamical …

New developments in control design techniques of logical control networks

X Kong, S Wang, H Li, FE Alsaadi - Frontiers of Information Technology & …, 2020 - Springer
The control design problem plays a fundamental role in the study of logical control networks
(LCNs). This paper presents a detailed survey on new developments in control design …

Multiple and complete stability of recurrent neural networks with sinusoidal activation function

P Liu, J Wang, Z Guo - IEEE Transactions on Neural Networks …, 2020 - ieeexplore.ieee.org
This article presents new theoretical results on multistability and complete stability of
recurrent neural networks with a sinusoidal activation function. Sufficient criteria are …

Output feedback stabilizer design of Boolean networks based on network structure

J Zhong, B Li, Y Liu, W Gui - Frontiers of Information Technology & …, 2020 - Springer
In genetic regulatory networks, a stable configuration can represent the evolutionary
behavior of cell death or unregulated growth in genes. We present analytical investigations …

Output tracking of probabilistic Boolean networks by output feedback control

S Zhu, J Lu, Y Liu, T Huang, J Kurths - Information Sciences, 2019 - Elsevier
In this paper, we deal with the output tracking of probabilistic Boolean control networks
(PBCNs) via output feedback control. Firstly, the algebraic representation of PBCNs is …

Robust event-triggered control invariance of probabilistic Boolean control networks

L Lin, J Cao, L Rutkowski - IEEE Transactions on Neural …, 2019 - ieeexplore.ieee.org
In this brief, the robust control invariance problem of probabilistic Boolean control networks
(PBCNs) is investigated by a class of event-triggered control (ETC), which is an intermittent …

New method to global exponential stability analysis for switched genetic regulatory networks with mixed delays

L Zhang, X Zhang, Y Xue… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In this paper, the sufficient conditions for the global exponential stability of the switched
genetic regulatory networks with mixed time delays are obtained. The proposed method …