| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 407507 | Neurocomputing | 2015 | 8 Pages |
Abstract
In this paper, the issue of global exponential stability for a neutral type single neuron system with stochastic effects is investigated. Based on the linear matrix inequality (LMI) approach together with a novel Lyapunov–Krasovskii functional and stochastic analysis theory, sufficient conditions are derived to ensure that the considered system with time-varying delays is globally exponentially stable. Numerical examples are provided to demonstrate the efficiency and less conservatism of the derived theoretical results.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
G. Arthi, Ju H. Park, H.Y. Jung, J.H. Yoo,