Paper Info
Title
Global Exponential Stability of Hybrid Non-autonomous Neural Networks with Markovian Switching
Abstract
This paper discusses the global exponential stability for a class of hybrid non-autonomous neural networks (HNNNs) with Markovian switching, which includes the factors of time delays and impulse disturbance. A novel Halanay inequality with cross terms is established by using stochastic analysis technique. Some sufficiency criteria for the global exponential stability of the HNNNs with Markovian switching are derived by the Halanay inequality and some mathematical analysis methods. The results obtained have better fault tolerance and redundancy under certain accuracy than the existing results in the literature. Finally, numerical experiments are provided to illustrate our theoretical results.
Year
DOI
Venue
2020
10.1007/s11063-020-10262-3
NEURAL PROCESSING LETTERS
Keywords
DocType
Volume
Global exponential stability,Hybrid non-autonomous neural networks (HNNNs),Pulse delay,Markovian switching,Halanay inequality
Journal
52.0
Issue
ISSN
Citations 
SP1.0
1370-4621
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Chenhui Zhao101.01
Donghui Guo210721.93