An improved fixed-time stabilization problem of delayed coupled memristor-based neural networks with pinning control and indefinite derivative approach
In this brief, we propose a class of generalized memristor-based neural networks with nonlinear coupling. Based on the set-valued mapping theory, novel Lyapunov indefinite derivative and Memristor theory, the coupled memristor-based neural networks (CMNNs) can achieve fixed-time stabilization (FTS)...
Main Authors: | Chao Yang, Juntao Wu, Zhengyang Qiao |
---|---|
Format: | Article |
Language: | English |
Published: |
AIMS Press
2023-03-01
|
Series: | Electronic Research Archive |
Subjects: | |
Online Access: | https://www.aimspress.com/article/doi/10.3934/era.2023123?viewType=HTML |
Similar Items
-
Fixed-time synchronization problem of coupled delayed discontinuous neural networks via indefinite derivative method
by: Huijun Xiong, et al.
Published: (2023-01-01) -
Building Fixed Point-Free Maps with Memristor
by: Othman Abdullah Almatroud, et al.
Published: (2023-03-01) -
Bipartite Synchronization of Fractional-Order Memristor-Based Coupled Delayed Neural Networks with Pinning Control
by: P. Babu Dhivakaran, et al.
Published: (2022-10-01) -
Periodic solutions of a class of indefinite singular differential equations
by: Zaitao Liang, et al.
Published: (2023-02-01) -
Memristor Cellular Nonlinear Networks
by: Angela Slavova, et al.
Published: (2023-03-01)