Global exponential stability of discrete-time almost automorphic Caputo–Fabrizio BAM fuzzy neural networks via exponential Euler technique

T Zhang, Y Li - Knowledge-Based Systems, 2022 - Elsevier
Exponential Euler discrete schemes have been widely employed in the studies of Caputo
fractional order differential equations, but almost no literature concerns the Caputo–Fabrizio …

Mittag–Leffler stability and synchronization of neutral-type fractional-order neural networks with leakage delay and mixed delays

CA Popa - Journal of the Franklin Institute, 2023 - Elsevier
In recent years, there have been a lot of studies focusing on the dynamics of fractional-order
neural networks (FONNs). One problem is that the standard Lyapunov theory does not apply …

Fixed/prescribed-time synchronization of BAM memristive neural networks with time-varying delays via convex analysis

J Yang, G Chen, S Zhu, S Wen, J Hu - Neural Networks, 2023 - Elsevier
The synchronization problem of bidirectional associative memory memristive neural
networks (BAMMNNs) with time-varying delays plays an essential role in the implementation …

Finite-time synchronization of fractional-order delayed fuzzy cellular neural networks with parameter uncertainties

F Du, JG Lu - IEEE Transactions on Fuzzy Systems, 2022 - ieeexplore.ieee.org
The finite-time synchronization (FTS) is studied for a class of fractional-order delayed fuzzy
cellular neural networks (FODFCNNs) with parameter uncertainties. A linear fractional-order …

Mixed-delay-based augmented functional for sampled-data synchronization of delayed neural networks with communication delay

Y Zhang, Y He, F Long… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The synchronization control for delayed neural networks (DNNs) via a sampled-data
controller considering communication delay is studied by input delay approach. Although …

Quasi-projective synchronization of discrete-time fractional-order quaternion-valued neural networks

M Zhao, HL Li, L Zhang, C Hu, H Jiang - Journal of the Franklin Institute, 2023 - Elsevier
In this article, without decomposing the quaternion-valued neural networks (QVNNs) into two
complex-valued subsystems or four real-valued subsystems, quasi-projective …

[HTML][HTML] Finite-time synchronization of uncertain fractional-order delayed memristive neural networks via adaptive sliding mode control and its application

T Jia, X Chen, L He, F Zhao, J Qiu - Fractal and Fractional, 2022 - mdpi.com
Finite-time synchronization (FTS) of uncertain fractional-order memristive neural networks
(FMNNs) with leakage and discrete delays is studied in this paper, in which the impacts of …

Recent advances and applications of fractional-order neural networks

M Maiti, M Sunder, R Abishek, K Bingi, NB Shaik… - Engineering …, 2022 - engj.org
This paper focuses on the growth, development, and future of various forms of fractional-
order neural networks. Multiple advances in structure, learning algorithms, and methods …

Event-triggered exponential synchronization of the switched neural networks with frequent asynchronism

C Ge, X Liu, Y Liu, C Hua - IEEE Transactions on Neural …, 2022 - ieeexplore.ieee.org
The synchronization for a class of switched uncertain neural networks (NNs) with frequent
asynchronism based on event-triggered control is researched in this article. Compared with …

Modified projective synchronization of distributive fractional order complex dynamic networks with model uncertainty via adaptive control

S Aadhithiyan, R Raja, Q Zhu, J Alzabut… - Chaos, Solitons & …, 2021 - Elsevier
Adaptive modified projective function synchronization of non-linear distributive fractional
order complex dynamical networks (DFCDN) is addressed in this paper. Firstly, we have …