Predefined-Time (PDT) Synchronization of Impulsive Fuzzy BAM Neural Networks with Stochastic Perturbations
This paper focuses on the predefined-time (PDT) synchronization issue of impulsive fuzzy bidirectional associative memory neural networks with stochastic perturbations. Firstly, useful definitions and lemmas are introduced to define the PDT synchronization of the considered system. Next, a novel con...
Main Authors: | Rouzimaimaiti Mahemuti, Abdujelil Abdurahman |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-03-01
|
Series: | Mathematics |
Subjects: | |
Online Access: | https://www.mdpi.com/2227-7390/11/6/1291 |
Similar Items
-
Fixed/Predefined-Time Synchronization of Complex-Valued Stochastic BAM Neural Networks with Stabilizing and Destabilizing Impulse
by: Jingjing You, et al.
Published: (2022-11-01) -
Stochastic Synchronization of Impulsive Reaction–Diffusion BAM Neural Networks at a Fixed and Predetermined Time
by: Rouzimaimaiti Mahemuti, et al.
Published: (2024-04-01) -
Fixed/Preassigned Time Synchronization of Impulsive Fractional-Order Reaction–Diffusion Bidirectional Associative Memory (BAM) Neural Networks
by: Rouzimaimaiti Mahemuti, et al.
Published: (2025-01-01) -
Fixed-Time Synchronization of Reaction-Diffusion Fuzzy Neural Networks with Stochastic Perturbations
by: Hayrengul Sadik, et al.
Published: (2023-03-01) -
Fixed/predefined-time generalized synchronization for stochastic complex dynamical networks with delays
by: Qike Zhang, et al.
Published: (2024-01-01)