Paper Info
Title
Fuzzy Adaptive Event-Triggered Sampled-Data Control for Stabilization of T-S Fuzzy Memristive Neural Networks With Reaction-Diffusion Terms
Abstract
This article focuses on the design of a fuzzy adaptive event-triggered sampled-data control (AETSDC) scheme for stabilization of Takagi–Sugeno (T–S) fuzzy memristive neural networks (MNNs) with reaction–diffusion terms (RDTs). Different from the existing T–S fuzzy MNNs, the reaction and diffusion phenomena are considered, which make the presented model more applicable. A fuzzy AETSDC scheme is pro...
Year
DOI
Venue
2021
10.1109/TFUZZ.2020.2985334
IEEE Transactions on Fuzzy Systems
Keywords
DocType
Volume
Memristors,Symmetric matrices,Multi-layer neural network,Stability analysis,Control systems,Neurons
Journal
29
Issue
ISSN
Citations 
7
1063-6706
4
PageRank 
References 
Authors
0.38
0
5
Name
Order
Citations
PageRank
Ruimei Zhang11158.14
Deqiang Zeng2663.77
Ju H. Park35878330.37
H. K. Lam43618193.15
Shouming Zhong515714.46