New fixed-time stability lemmas and applications to the discontinuous fuzzy inertial neural networks
This article aims to analyze the fixed-time synchronization of a class of discontinuous fuzzy
inertial neural networks with time-varying delays based on the new improved fixed-time …
inertial neural networks with time-varying delays based on the new improved fixed-time …
Fixed-time synchronization of discontinuous competitive neural networks with time-varying delays
C Zheng, C Hu, J Yu, H Jiang - Neural Networks, 2022 - Elsevier
In this article, the fixed-time (FXT) synchronization of discontinuous competitive neural
networks (CNNs) involving time-varying delays is investigated. Firstly, two kinds of …
networks (CNNs) involving time-varying delays is investigated. Firstly, two kinds of …
Predefined-time synchronization of competitive neural networks
C Chen, L Mi, Z Liu, B Qiu, H Zhao, L Xu - Neural Networks, 2021 - Elsevier
In this paper, the predefined-time synchronization of competitive neural networks (CNNs) is
researched based on two different predefined-time stability theorems. In view of the bilayer …
researched based on two different predefined-time stability theorems. In view of the bilayer …
Finite-/fixed-time synchronization of memristor chaotic systems and image encryption application
In this paper, a unified framework is proposed to address the synchronization problem of
memristor chaotic systems (MCSs) via the sliding-mode control method. By employing the …
memristor chaotic systems (MCSs) via the sliding-mode control method. By employing the …
Improved results on fixed-/preassigned-time synchronization for memristive complex-valued neural networks
Q Gan, L Li, J Yang, Y Qin… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
This article concerns the problems of synchronization in a fixed time or prespecified time for
memristive complex-valued neural networks (MCVNNs), in which the state variables …
memristive complex-valued neural networks (MCVNNs), in which the state variables …
Fixed-time stabilization of discontinuous neutral neural networks with proportional delays via new fixed-time stability lemmas
F Kong, Q Zhu - IEEE transactions on neural networks and …, 2021 - ieeexplore.ieee.org
When studying the stability of time-delayed discontinuous systems, Lyapunov-Krasovskii
functional (LKF) is an essential tool. More relaxed conditions imposed on the LKF are …
functional (LKF) is an essential tool. More relaxed conditions imposed on the LKF are …
Fixed-time stability for discontinuous uncertain inertial neural networks with time-varying delays
In this article, a class of discontinuous inertial neural networks (DINNs) with parameter
uncertainties and time delays is studied. The main aim is to investigate the new fixed-time …
uncertainties and time delays is studied. The main aim is to investigate the new fixed-time …
Finite/fixed-time synchronization of inertial memristive neural networks by interval matrix method for secure communication
This paper investigates the finite/fixed-time synchronization problem of delayed inertial
memristive neural networks (DIMNNs) using interval matrix-based methods within a unified …
memristive neural networks (DIMNNs) using interval matrix-based methods within a unified …
Fixed-time stability of nonlinear impulsive systems and its application to inertial neural networks
L Hua, H Zhu, S Zhong, Y Zhang, K Shi… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
This article is concerned with the fixed-time stability (FTS) problem of nonlinear impulsive
systems (NISs). By means of the impulsive control mechanism and Lyapunov functions …
systems (NISs). By means of the impulsive control mechanism and Lyapunov functions …
Delay-dependent finite-time synchronization criterion of fractional-order delayed complex networks
The delay-dependent finite-time synchronization (FTS) is investigated for a class of fractional-
order delayed complex networks (FODCNs). First, with the aid of the Young inequality and …
order delayed complex networks (FODCNs). First, with the aid of the Young inequality and …