Exponential Stability of Markovian Jumping Memristor-Based Neural Networks via Event-Triggered Impulsive Control Scheme

Exponential Stability of Markovian Jumping Memristor-Based Neural Networks via Event-Triggered Impulsive Control Scheme

This paper studies the modeling and exponential stability problems for markovian jumping memristor-based neural networks (MJMNNs) via event-triggered impulsive control scheme (ETICS). The purpose is to design memristor-based neural networks (MNNs) which has markovian jumping parameters and hybrid ti...

Full description

Bibliographic Details
Main Authors: Nijing Yang, Yongbin Yu, Shouming Zhong, Xiangxiang Wang, Kaibo Shi, Jingye Cai
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Memristor-based neural networks
Markovian jumping
event-triggered impulsive control scheme
exponential stability
Online Access:https://ieeexplore.ieee.org/document/8999520/

Internet

https://ieeexplore.ieee.org/document/8999520/

Similar Items