The development of gene circuits in logic modules that start enormous output distributions
with low signal-to-noise ratios is a difficult problem in engineering. As a result, the gene …

In this article, sampled-data synchronization problem for stochastic Markovian jump neural
networks (SMJNNs) with time-varying delay under aperiodic sampled-data control is …

This paper investigates the problem of sampled-data (SD) exponentially synchronization for
a class of Markovian neural networks with time-varying delayed signals. Based on the …

This paper investigates the problem of extended dissipativity for Markovian jump neural
networks (MJNNs) with a time-varying delay. The objective is to derive less conservative …

This paper is concerned with the reachable set estimation for Markovian jump neural
networks with time-varying delay and bounded peak inputs. The objective is to find a …

This paper presents a state estimation for genetic regulatory networks with two delay
components by using second-order reciprocally convex approach. The additive time delay …

This article investigates the finite-time H∞ synchronization for semi-Markov jump neural
networks with two delay components based on stochastic sampled data control. Additionally …

This paper is concerned with the problem of reachable set estimation for discrete-time
Markovian jump neural networks with generally incomplete transition probabilities (TPs) …

In an modern world, image encryption played an vital role to prevent our data from illegal
abuser entrée. Based on this, in this paper, the Markovian jump neural networks for …

This paper is concerned with the problem of global exponential passivity for quaternion-
valued memristor-based neural networks (QVMNNs) with time-varying delay. The QVMNNs …