Paper Info
Title
Design of State-Dependent Switching Laws for Stability of Switched Stochastic Neural Networks With Time-Delays.
Abstract
We study the stability properties of switched stochastic neural networks (SSNNs) with time-varying delays whose subsystem is not necessarily stable. We introduce state-dependent switching (SDS) as a tool for stability analysis. Some SDS laws for asymptotic stability and p th moment exponentially stable are designed by employing Lyapunov-Krasovskii (L-K) functional and Lyapunov-Razumikhin (L-R) met...
Year
DOI
Venue
2020
10.1109/TNNLS.2019.2927161
IEEE Transactions on Neural Networks and Learning Systems
Keywords
DocType
Volume
Switches,Artificial neural networks,Lyapunov methods,Delays,Stability criteria,Power system stability
Journal
31
Issue
ISSN
Citations 
6
2162-237X
2
PageRank 
References 
Authors
0.36
18
3
Name
Order
Citations
PageRank
Dan Yang131.05
Xiaodi Li241020.60
Shiji Song3124794.76