| NEUROCOMPUTING | 卷:296 |
| Finite-time H∞ sampled-data synchronization for Markovian jump complex networks with time-varying delays | |
| Article | |
| Huang, Xiaojie1  Ma, Yuechao1  | |
| [1] Yanshan Univ, Sch Sci, Qinhuangdao 066004, Hebei, Peoples R China | |
| 关键词: Sampled-data control; Complex networks; Finite-time H-infinity synchronization; Markovian jumping; Time-varying delays; | |
| DOI : 10.1016/j.neucom.2018.03.024 | |
| 来源: Elsevier | |
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【 摘 要 】
This paper investigates the finite-time H-infinity 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. (C) 2018 Elsevier B.V. All rights reserved.
【 授权许可】
Free
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| 10_1016_j_neucom_2018_03_024.pdf | 1126KB |
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