S Dong, H Zhu, S Zhong, K Shi, Y Liu - Applied Mathematics and …, 2021 - Elsevier
The problem of fixed-time synchronization (FTS) control for memristive neural networks (MNNs) with discrete timedelay and inertia term is investigated in this work. Firstly, delayed …
R Li, J Cao, C Xue, R Manivannan - Applied Mathematics and Computation, 2021 - Elsevier
A discrete-time fractional-order quaternion-valued memristive system is considered in this note. By utilizing contraction mapping theory, a sufficient condition for the existence and …
This paper studies a class of inertial neural networks with delays. By utilizing differential inequality analysis, some novel assertions are gained to validate the global exponential …
X Li, X Li, C Hu - Neural Networks, 2017 - Elsevier
In this paper, without transforming the second order inertial neural networks into the first order differential systems by some variable substitutions, asymptotic stability and …
G Zhang, Z Zeng, J Hu - Neural Networks, 2018 - Elsevier
This paper is concerned with the global exponential dissipativity of memristive inertial neural networks with discrete and distributed time-varying delays. By constructing appropriate …
G Zhang, J Cao, A Kashkynbayev - Journal of the Franklin Institute, 2023 - Elsevier
This article aims to study fixed-time projective lag synchronization (FXPLS) and preassigned- time projective lag synchronization (PTPLS) of hybrid inertial neural networks (HINNs) with …
Z Zhang, M Chen, A Li - Neurocomputing, 2020 - Elsevier
We discuss the finite-time synchronization of a class of delayed inertial neural networks. Getting rid of utilizing some finite-time synchronization theorems and integral inequality skills …
C Huang, H Zhang - International Journal of Biomathematics, 2019 - World Scientific
This paper, mainly explores a class of non-autonomous inertial neural networks with proportional delays and time-varying coefficients. By combining Lyapunov function method …
The global exponential stabilization and lag synchronization control of delayed inertial neural networks (INNs) are investigated. By constructing nonnegative function and …