State estimation for complex-valued memristive neural networks with time-varying delays

State estimation for complex-valued memristive neural networks with time-varying delays

Abstract This paper focuses on the state estimation problem for complex-valued memristive neural networks with time-varying delays. By utilizing Lyapunov stability theory and some matrix inequality techniques, based on a novel Lyapunov functional, a sufficient delay-dependent condition which guarant...

Full description

Bibliographic Details
Main Authors: Runan Guo, Ziye Zhang, Ming Gao
Format: Article
Language:English
Published: SpringerOpen 2018-04-01
Series:Advances in Difference Equations
Subjects:
State estimation
Memristive neural networks
Complex-valued systems
Time-varying delays
Online Access:http://link.springer.com/article/10.1186/s13662-018-1575-1

Internet

http://link.springer.com/article/10.1186/s13662-018-1575-1

Similar Items