Abstract
This paper is concerned with stability analysis for a class of dynamical neural networks with distributed delays. The M-matrix theory and new analysis technique are used to obtain new sufficient conditions for the existence, uniqueness and global stability of the equilibrium point of dynamical neural networks with distributed delays. The importance of the new stability criteria in the design and application of dynamical neural networks with distributed delays is due to the fact that they can handle the case when the non-delayed terms can not dominate the delayed terms. The effectiveness of the obtained theoretical results are illustrated by numerical examples.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the Joint 44th IEEE Conference on Decision and Control and 2005 European Control Conference |
| Publisher | IEEE Computer Society |
| Number of pages | 6 |
| ISBN (Print) | 0780395689 |
| Publication status | Published - 2005 |
| Event | IEEE Conference on Decision and Control,European Control Conference - Duration: 1 Jan 2005 → … |
Conference
| Conference | IEEE Conference on Decision and Control,European Control Conference |
|---|---|
| Period | 1/01/05 → … |
Keywords
- algorithms
- equations
- stability
- neural networks (computer science)
- time delay systems
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