Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
408284 | Neurocomputing | 2011 | 8 Pages |
Abstract
In this paper, the problem of passivity analysis is investigated for a class of stochastic delayed neural networks with Markovian switching. By applying Lyapunov functional and free-weighting matrix, delay-dependent/independent passivity criteria are presented in terms of linear matrix inequalities. The results herein include existing ones for neural networks without Markovian switching as special cases. An example is given to demonstrate the effectiveness of the proposed criteria.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Song Zhu, Yi Shen,