Synchronization of fractional reaction-diffusion complex networks with unknown couplings

M Shen, C Wang, QG Wang, Y Sun… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
This paper delves into the synchronization of factional uncertain reaction-diffusion complex
network. An adaptive scheme composed of time and space is utilized to handle unknown …

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 …

Adaptive finite-time synchronization of fractional-order delayed fuzzy cellular neural networks

F Du, JG Lu - Fuzzy Sets and Systems, 2023 - Elsevier
The adaptive finite-time synchronization problems are investigated for a class of fractional-
order delayed fuzzy cellular neural networks (FODFCNNs). First, with the aid of the …

Novel Controller Design for Finite-Time Synchronization of Fractional-Order Nonidentical Complex Dynamical Networks under Uncertain Parameters

X He, Y Wang, T Li, R Kang, Y Zhao - Fractal and Fractional, 2024 - mdpi.com
The synchronization of complex networks, as an important and captivating dynamic
phenomenon, has been investigated across diverse domains ranging from social activities …

Generalized Halanay-Type Inequalities for Finite-Time Stabilization of Delayed Systems

J **, S Zhu, C Mu, X Liu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This brief extends Halanay inequality to study the finite-time stabilization (FTS) of delayed
systems. To overcome rigorous constraints on time delays and achieve a balance between …

Output synchronization of fractional-order multi-layer network via quantized pinning control under stochastic cyber attacks

L Xu, J Yu, C Hu - Communications in Nonlinear Science and Numerical …, 2025 - Elsevier
In practical applications, loads of single complex network models cannot meet the research
requirements owing to the interaction between network layers. Furthermore, the …

Projective synchronization for distinct fractional-order neural networks consist of inconsistent orders via sliding mode control

J Zhou, D Li, G Chen, S Wen - Communications in Nonlinear Science and …, 2024 - Elsevier
The present study delves into the projective synchronization for distinct fractional-order
neural networks consist of inconsistent orders, employing the principles of sliding mode …

Finite time event-triggered consensus of variable-order fractional multi-agent systems

R Li, X Li, Q Gan, H Wu, J Cao - Chaos, Solitons & Fractals, 2023 - Elsevier
This paper focuses on the finite time consensus issue for variable-order fractional multi-
agent systems (FMASs), where each agent is characterized by the piecewise-smooth …

Event-triggered synchronization control for fractional-order IT2 fuzzy multi-weighted complex dynamical networks with deception attacks

R Sakthivel, OM Kwon, MJ Park, R Sakthivel - … in Nonlinear Science and …, 2024 - Elsevier
This paper deals with the event-based synchronization control issue for fractional-order
interval type-2 (IT2) fuzzy complex dynamical networks subject to deception attacks and …

Coopetition-dependent controller design for bipartite synchronization of cooperation–competition delayed memristive neural networks

X Si, Z Wang, Y Fan, X Huang - Communications in Nonlinear Science and …, 2024 - Elsevier
In this paper, the bipartite synchronization problem for cooperation–competition delayed
memristive neural networks (CCDMNNs) is addressed via designing a coopetition …