Novel Criteria of ISS Analysis for Delayed Memristive Simplified Cohen–Grossberg BAM Neural Networks
The memristor as the fourth circuit element, it can capture some key aspects of biological synaptic plasticity. So, it is significant that the characteristic of memristors is considered in neural networks. This paper investigates input-to-state stability (ISS) of a class of memristive simplified Coh...
Main Authors: | Yong Zhao, Shanshan Ren |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi-Wiley
2020-01-01
|
Series: | Complexity |
Online Access: | http://dx.doi.org/10.1155/2020/3612394 |
Similar Items
-
Finite-Time Stabilization of Memristive Cohen-Grossberg Neural Networks with Time-Varying Delay
by: Ge Li, et al.
Published: (2018-01-01) -
Pinning Synchronization via Intermittent Control for Memristive Cohen-Grossberg Neural Networks With Mixed Delays
by: Meng Hui, et al.
Published: (2020-01-01) -
New Stabilization Method for Delayed Discrete-Time Cohen–Grossberg BAM Neural Networks
by: Er-Yong Cong, et al.
Published: (2020-01-01) -
Periodic Solutions of a Cohen-Grossberg-Type BAM Neural Networks with Distributed Delays and Impulses
by: Qiming Liu, et al.
Published: (2012-01-01) -
Global Exponential Stability of Delayed Cohen-Grossberg BAM Neural Networks with Impulses on Time Scales
by: Fei Yu, et al.
Published: (2009-01-01)