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[HTML][HTML] Hybrid control scheme for projective lag synchronization of Riemann–Liouville sense fractional order memristive BAM NeuralNetworks with mixed delays
This sequel is concerned with the analysis of projective lag synchronization of Riemann–
Liouville sense fractional order memristive BAM neural networks (FOMBNNs) with mixed …
Liouville sense fractional order memristive BAM neural networks (FOMBNNs) with mixed …
Controller design for finite-time and fixed-time stabilization of fractional-order memristive complex-valued BAM neural networks with uncertain parameters and time …
In this paper we investigate controller design problem for finite-time and fixed-time
stabilization of fractional-order memristive complex-valued BAM neural networks …
stabilization of fractional-order memristive complex-valued BAM neural networks …
[HTML][HTML] Global Mittag–Leffler stability and stabilization analysis of fractional-order quaternion-valued memristive neural networks
G Rajchakit, P Chanthorn, P Kaewmesri, R Sriraman… - Mathematics, 2020 - mdpi.com
This paper studies the global Mittag–Leffler stability and stabilization analysis of fractional-
order quaternion-valued memristive neural networks (FOQVMNNs). The state feedback …
order quaternion-valued memristive neural networks (FOQVMNNs). The state feedback …
Finite-time stabilization of complex-valued neural networks with proportional delays and inertial terms: A non-separation approach
This article mainly dedicates on the issue of finite-time stabilization of complex-valued
neural networks with proportional delays and inertial terms via directly constructing …
neural networks with proportional delays and inertial terms via directly constructing …
Finite-time passivity and synchronization of coupled complex-valued memristive neural networks
Y Huang, F Wu - Information Sciences, 2021 - Elsevier
The finite-time passivity and finite-time synchronization issues for two categories of coupled
complex-valued memristive neural networks with and without time-varying delay are …
complex-valued memristive neural networks with and without time-varying delay are …
Projective synchronization in finite-time for fully quaternion-valued memristive networks with fractional-order
S Yang, C Hu, J Yu, H Jiang - Chaos, Solitons & Fractals, 2021 - Elsevier
Based on the non-separation method, the finite-time projective synchronization of fractional-
order quaternion-valued memristive networks with discontinuous activation functions is …
order quaternion-valued memristive networks with discontinuous activation functions is …
Multistability and stabilization of fractional-order competitive neural networks with unbounded time-varying delays
F Zhang, Z Zeng - IEEE Transactions on Neural Networks and …, 2021 - ieeexplore.ieee.org
This article investigates the multistability and stabilization of fractional-order competitive
neural networks (FOCNNs) with unbounded time-varying delays. By utilizing the monotone …
neural networks (FOCNNs) with unbounded time-varying delays. By utilizing the monotone …
Finite-time stabilization of fractional-order fuzzy quaternion-valued BAM neural networks via direct quaternion approach
S Chen, HL Li, Y Kao, L Zhang, C Hu - Journal of the Franklin Institute, 2021 - Elsevier
This paper investigates fractional-order fuzzy quaternion-valued BAM neural networks
(FOFQBAMNNs) without decomposition. By virtue of a novel contraction map**, the …
(FOFQBAMNNs) without decomposition. By virtue of a novel contraction map**, the …
Synchronization of fractional-order reaction-diffusion neural networks via mixed boundary control
Y Sun, C Hu, J Yu, T Shi - Applied Mathematics and Computation, 2023 - Elsevier
This article studies the synchronization issue of fractional reaction-diffusion neural networks
(FRDNNs) with time delay and mixed boundary condition. First, a novel boundary controller …
(FRDNNs) with time delay and mixed boundary condition. First, a novel boundary controller …
Stability of discrete‐time fractional‐order time‐delayed neural networks in complex field
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 …
order cases, which is the first time documented in this manuscript. This manuscript is mainly …