Adaptive control-based synchronization of discrete-time fractional-order fuzzy neural networks with time-varying delays

HL Li, J Cao, C Hu, L Zhang, H Jiang - Neural Networks, 2023 - Elsevier
This paper is concerned with complete synchronization for discrete-time fractional-order
fuzzy neural networks (DFFNNs) with time-varying delays. First, three original equalities and …

Quasi-synchronization of discrete-time fractional-order quaternion-valued memristive neural networks with time delays and uncertain parameters

M Zhao, HL Li, L Zhang, C Hu, H Jiang - Applied Mathematics and …, 2023 - Elsevier
In this paper, quasi-synchronization of discrete-time fractional-order quaternion-valued
memristive neural networks (DTFQMNNs) with time delays and uncertain parameters is …

Synchronization analysis for discrete fractional-order complex-valued neural networks with time delays

X Liu, Y Yu - Neural Computing and Applications, 2021 - Springer
In this paper, we do not separate the complex-valued neural networks into two real-valued
systems, the quasi-projective synchronization and complete synchronization of fractional …

Stability analysis of Hadamard and Caputo-Hadamard fractional nonlinear systems without and with delay

BB He, HC Zhou, CH Kou - Fractional Calculus and Applied Analysis, 2022 - Springer
This paper handles with the Hadamard and the Caputo-Hadamard fractional derivative and
stability of related systems without and with delay. Firstly, the derivative inequalities are …

Synchronization of discrete-time fractional fuzzy neural networks with delays via quantized control

J Yang, HL Li, L Zhang, C Hu, H Jiang - ISA transactions, 2023 - Elsevier
In this paper, synchronization issue of discrete-time fractional fuzzy neural networks
(DFFNNs) with delays is solved via quantized control, and is applied in image encryption …

Quasi-synchronization and stabilization of discrete-time fractional-order memristive neural networks with time delays

XL Zhang, HL Li, Y Yu, Z Wang - Information Sciences, 2023 - Elsevier
In this article, the quasi-synchronization (QS) and stabilization of a sort of discrete-time
fractional-order memristive neural networks (DFMNNs) with time delays are considered. First …

Projective synchronization of discrete-time variable-order fractional neural networks with time-varying delays

DD Li, HL Li, C Hu, H Jiang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
This article is committed to studying projective synchronization and complete
synchronization (CS) issues for one kind of discrete-time variable-order fractional neural …

Complete synchronization of discrete-time fractional-order BAM neural networks with leakage and discrete delays

J Liu, HL Li, C Hu, H Jiang, J Cao - Neural Networks, 2024 - Elsevier
This paper concerns complete synchronization (CS) problem of discrete-time fractional-
order BAM neural networks (BAMNNs) with leakage and discrete delays. Firstly, on the basis …

State estimation for discrete-time fractional-order neural networks with time-varying delays and uncertainties

J Deng, HL Li, J Cao, C Hu, H Jiang - Chaos, Solitons & Fractals, 2023 - Elsevier
In this paper, the state estimation issue for a class of discrete-time fractional-order neural
networks (DFNNs) with time-varying delays and uncertainties is investigated. Based on the …

Caputo–hadamard fractional halanay inequality

BB He, HC Zhou - Applied Mathematics Letters, 2022 - Elsevier
This paper is concerned with Caputo–Hadamard fractional Halanay inequality. A useful
fractional derivative inequality regarding on x 2 in the Caputo–Hadamard sense is obtained …