Abstract
This paper presents two novel Lyapunov functionals for analyzing the stability of neural networks with time-varying delay. Based on our newly proposed Lyapunov functionals and a relaxed Wirtinger-based integral inequality, new stability criteria are derived in the form of linear matrix inequalities. A comprehensive comparison of results is given to illustrate the newly proposed stability criteria from both the conservative and computational complexity point of views.
| Original language | English |
|---|---|
| Article number | 8090541 |
| Pages (from-to) | 4238-4247 |
| Number of pages | 10 |
| Journal | IEEE Transactions on Neural Networks and Learning Systems |
| Volume | 29 |
| Issue number | 9 |
| DOIs | |
| State | Published - 2018.09 |
Keywords
- Lyapunov functionals
- neural networks
- stability
- time-varying delay
Quacquarelli Symonds(QS) Subject Topics
- Computer Science & Information Systems
- Data Science
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