Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4944676 | Information Sciences | 2017 | 28 Pages |
Abstract
This paper deals with the problem of Hâ filtering for stochastic neural networks (SNNs) with a mixed of time-varying interval delays, time-varying distributed delays, and leakage delays. A novel quintuple integral Lyapunov-Krasovskii functional (LKF) is constructed to improve the performance of the SNN. Sufficient criteria can be obtained by applying the linear matrix inequality (LMI) approach and developing a new mathematical analysis, which ensures the filtering error system is asymptotically stable in the mean square. Finally, simulation results are provided to show the superiority and usefulness of the proposed method.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
M. Syed Ali, R. Saravanakumar, Choon Ki Ahn, Hamid Reza Karimi,