Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6863979 | Neurocomputing | 2018 | 27 Pages |
Abstract
This paper investigates the finite-time Hâ sampled-data synchronization problem for a class of dynamical complex networks with Markovian jump and time-varying delays. Based on a modified Lyapunov-Krasovskii function (LKF), which is fully considered the characteristics of sampled-data, a sampled-data controller are obtained. By introducing the free weighting matrices, some novel auxiliary function-based integral inequalities are applied to have less conservative than other existing results. Finally, three examples are given to show the effectiveness and superiority of the proposed methods.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Xiaojie Huang, Yuechao Ma,