Finite-time synchronization of fractional-order memristor-based neural networks with time delays

G Velmurugan, R Rakkiyappan, J Cao - Neural Networks, 2016 - Elsevier
In this paper, we consider the problem of finite-time synchronization of a class of fractional-
order memristor-based neural networks (FMNNs) with time delays and investigated it …

Exponential stabilization and synchronization for fuzzy model of memristive neural networks by periodically intermittent control

S Yang, C Li, T Huang - Neural Networks, 2016 - Elsevier
The problem of exponential stabilization and synchronization for fuzzy model of memristive
neural networks (MNNs) is investigated by using periodically intermittent control in this …

Stability of Markovian jump generalized neural networks with interval time-varying delays

R Saravanakumar, MS Ali, CK Ahn… - IEEE transactions on …, 2016 - ieeexplore.ieee.org
This paper examines the problem of asymptotic stability for Markovian jump generalized
neural networks with interval time-varying delays. Markovian jump parameters are modeled …

Synchronization of stochastic neural networks using looped-Lyapunov functional and its application to secure communication

B Ganesan, P Mani, L Shanmugam… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
This study aims to investigate the synchronization of user-controlled and uncontrolled neural
networks (NNs) that exhibit chaotic solutions. The idea behind focusing on synchronization …

Non-fragile sampled-data control for synchronization of chaotic fractional-order delayed neural networks via LMI approach

R Kiruthika, R Krishnasamy, S Lakshmanan… - Chaos, Solitons & …, 2023 - Elsevier
This study addresses the master and slave synchronization problem of chaotic fractional-
order delayed neural networks using a non-fragile sampled-data control (NFSDC) scheme …

Delay-dependent stability and dissipativity analysis of generalized neural networks with Markovian jump parameters and two delay components

G Chen, J **a, G Zhuang - Journal of the Franklin Institute, 2016 - Elsevier
This paper focuses on the problem of delay-dependent stability and dissipativity analysis of
generalized neural networks (GNNs) with Markovian jump parameters and two delay …

Reachable set estimation for Markovian jump neural networks with time-varying delay

WJ Lin, Y He, M Wu, Q Liu - Neural Networks, 2018 - Elsevier
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 …

Reachable set estimation for Markovian jump neural networks with time-varying delays

Z Xu, H Su, P Shi, R Lu, ZG Wu - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
In this paper, the reachable set estimation problem is investigated for Markovian jump neural
networks (NNs) with time-varying delays and bounded peak disturbances. Our goal is to find …

Stability of discrete‐time fractional‐order time‐delayed neural networks in complex field

A Pratap, R Raja, J Cao, C Huang… - … Methods in the …, 2021 - Wiley Online Library
Dynamics of discrete‐time neural networks have not been well documented yet in fractional‐
order cases, which is the first time documented in this manuscript. This manuscript is mainly …

Further results on dissipativity and stability analysis of Markov jump generalized neural networks with time-varying interval delays

S Jiao, H Shen, Y Wei, X Huang, Z Wang - Applied Mathematics and …, 2018 - Elsevier
This work investigates the dissipativity and stability analysis problems for Markov jump
generalized neural networks subject to time-varying interval delays. The aim of the present …