| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 411218 | Neurocomputing | 2007 | 8 Pages |
Abstract
This paper discusses the passivity for integro-differential neural networks with time-varying delays. By constructing proper Lyapunov functionals and using some analytic techniques, several sufficient conditions are given to ensure the passivity of the integro-differential neural networks with time-varying delays. The passivity conditions are presented in terms of linear matrix inequalities (LMIs), which can be easily solved by using the effective interior-point algorithm.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Xuyang Lou, Baotong Cui,