Impulsive synchronization of unbounded delayed inertial neural networks with actuator saturation and sampled-data control and its application to image encryption

H Li, C Li, D Ouyang, SK Nguang - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The article considers the impulsive synchronization for inertial neural networks with
unbounded delay and actuator saturation via sampled-data control. Based on an impulsive …

A flexible terminal approach to sampled-data exponentially synchronization of Markovian neural networks with time-varying delayed signals

J Cheng, JH Park, HR Karimi… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
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 …

Synchronization of Markovian jumping inertial neural networks and its applications in image encryption

M Prakash, P Balasubramaniam, S Lakshmanan - Neural Networks, 2016 - Elsevier
This study is mainly concerned with the problem on synchronization criteria for Markovian
jumping time delayed bidirectional associative memory neural networks and their …

Improved criteria for sampled-data synchronization of chaotic Lur'e systems using two new approaches

TH Lee, JH Park - Nonlinear Analysis: Hybrid Systems, 2017 - Elsevier
In this paper, the problem of the sampled-data synchronization of two identical chaotic Lur'e
systems is studied in which the controller is designed by using sampled output of the …

New reliable nonuniform sampling control for uncertain chaotic neural networks under Markov switching topologies

K Shi, J Wang, S Zhong, X Zhang, Y Liu… - Applied Mathematics and …, 2019 - Elsevier
This paper studies the stochastic exponential synchronization problem for uncertain chaotic
neural networks (UCNNs) with probabilistic faults (PFs) and randomly occurring time-varying …

Stability and synchronization of memristor-based fractional-order delayed neural networks

L Chen, R Wu, J Cao, JB Liu - Neural Networks, 2015 - Elsevier
Global asymptotic stability and synchronization of a class of fractional-order memristor-
based delayed neural networks are investigated. For such problems in integer-order …

Event-triggered asynchronous intermittent communication strategy for synchronization in complex dynamical networks

H Li, X Liao, G Chen, DJ Hill, Z Dong, T Huang - Neural Networks, 2015 - Elsevier
This paper presents a new framework for synchronization of complex network by introducing
a mechanism of event-triggering distributed sampling information. A kind of event which …

State estimation of T–S fuzzy delayed neural networks with Markovian jumping parameters using sampled-data control

MS Ali, N Gunasekaran, Q Zhu - Fuzzy Sets and Systems, 2017 - Elsevier
In this paper, we are concerned with the problem of state estimation of Takagi–Sugeno (T–
S) fuzzy delayed neural networks with Markovian jumping parameters via sampled-data …

Exponential synchronization of neural networks with time-varying delays via dynamic intermittent output feedback control

ZM Zhang, Y He, M Wu… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
This paper addresses the exponential synchronization problem for neural networks with time-
varying delays. First, a novel controller is presented by combining intermittent control with …

Impulsive multisynchronization of coupled multistable neural networks with time-varying delay

YW Wang, W Yang, JW Xiao… - IEEE transactions on …, 2016 - ieeexplore.ieee.org
This paper studies the synchronization problem of coupled delayed multistable neural
networks (NNs) with directed topology. To begin with, several sufficient conditions are …