A Representation of System Solutions for Global Exponential Stabilization of Memristor-Based Neural Networks With Unbounded Time-Varying Delays
This article mainly discusses the global exponential stabilization of a class of memristor-based neural networks (MNNs) with unbounded time-varying delays. In this article, a new approach without constructing any Lyapunov–Krasovskii functional is proposed to derive the global exponential...
Main Authors: | Xianhe Meng, Xian Zhang, Yantao Wang, Chunyan Liu |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2021-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9517039/ |
Similar Items
-
Stability of cellular neural networks with unbounded time-varying delays
by: Jianying Shao, et al.
Published: (2008-06-01) -
Multiple stability and instability of Cohen–Grossberg neural network with unbounded time-varying delays
by: Yanheng Chen, et al.
Published: (2019-06-01) -
Exponential stability of Thermoelastic system with boundary time-varying delay
by: Meng Hu, et al.
Published: (2023-01-01) -
Periodic solutions and exponential stability for shunting inhibitory cellular neural networks with continuously distributed delays
by: Duong Anh Tuan, et al.
Published: (2008-01-01) -
Exponential Stability of Highly Nonlinear Hybrid Differently Structured Neutral Stochastic Differential Equations with Unbounded Delays
by: Boliang Lu, et al.
Published: (2022-07-01)