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Exponential synchronization of memristor-based competitive neural networks with reaction-diffusions and infinite distributed delays
L Wang, CK Zhang - IEEE transactions on neural networks and …, 2022 - ieeexplore.ieee.org
Taking into account the infinite distributed delays and reaction-diffusions, this article
investigates the global exponential synchronization problem of a class of memristor-based …
investigates the global exponential synchronization problem of a class of memristor-based …
Fuzzy sampled-data control for synchronization of T–S fuzzy reaction–diffusion neural networks with additive time-varying delays
This article focuses on the exponential synchronization problem of TS fuzzy reaction-
diffusion neural networks (RDNNs) with additive time-varying delays (ATVDs). Two control …
diffusion neural networks (RDNNs) with additive time-varying delays (ATVDs). Two control …
Fuzzy adaptive event-triggered sampled-data control for stabilization of T–S fuzzy memristive neural networks with reaction–diffusion terms
This article focuses on the design of a fuzzy adaptive event-triggered sampled-data control
(AETSDC) scheme for stabilization of Takagi-Sugeno (TS) fuzzy memristive neural networks …
(AETSDC) scheme for stabilization of Takagi-Sugeno (TS) fuzzy memristive neural networks …
Prefixed-time local intermittent sampling synchronization of stochastic multicoupling delay reaction–diffusion dynamic networks
K Ding, Q Zhu, T Huang - IEEE Transactions on Neural …, 2022 - ieeexplore.ieee.org
This article focuses on the problem of prefixed-time synchronization for stochastic
multicoupled delay dynamic networks with reaction–diffusion terms and discontinuous …
multicoupled delay dynamic networks with reaction–diffusion terms and discontinuous …
Global Mittag–Leffler stability of the delayed fractional-coupled reaction-diffusion system on networks without strong connectedness
In this article, we mainly consider the existence of solutions and global Mittag–Leffler
stability of delayed fractional-order coupled reaction-diffusion neural networks without strong …
stability of delayed fractional-order coupled reaction-diffusion neural networks without strong …
Stability and synchronization of fractional-order reaction–diffusion inertial time-delayed neural networks with parameters perturbation
H Wang, Y Gu, X Zhang, Y Yu - Neural Networks, 2024 - Elsevier
This study is centered around the dynamic behaviors observed in a class of fractional-order
generalized reaction–diffusion inertial neural networks (FGRDINNs) with time delays. These …
generalized reaction–diffusion inertial neural networks (FGRDINNs) with time delays. These …
Adaptive event-triggered mechanism to synchronization of reaction–diffusion CVNNs and its application in image secure communication
This article is centered on the formulation of a refined adaptive sampled-data-based event-
triggering control (ASDBETC) scheme for the synchronization of reaction–diffusion complex …
triggering control (ASDBETC) scheme for the synchronization of reaction–diffusion complex …
Robust H∞ Pinning Synchronization for Multiweighted Coupled Reaction–Diffusion Neural Networks
This article focuses on the robust synchronization of two types of coupled reaction–diffusion
neural networks with multiple state and spatial diffusion couplings by utilizing pinning …
neural networks with multiple state and spatial diffusion couplings by utilizing pinning …
Quasisynchronization of reaction–diffusion neural networks under deception attacks
This study focuses on the quasisynchronization problem for reaction–diffusion neural
networks (RDNNs) in the presence of deception attacks. Under deception attacks, a time …
networks (RDNNs) in the presence of deception attacks. Under deception attacks, a time …
Synchronization of complex dynamical networks subject to noisy sampling interval and packet loss
This article focuses on the sampled-data synchronization issue for a class of complex
dynamical networks (CDNs) subject to noisy sampling intervals and successive packet …
dynamical networks (CDNs) subject to noisy sampling intervals and successive packet …