H∞ State Estimation for Stochastic Markovian Jumping Neural Network with Time-varying Delay and Leakage Delay
文献类型：期刊论文
| 作者 | Ya-Jun Li; Zhao-Wen Huang; Jing-Zhao Li |
| 刊名 | International Journal of Automation and Computing
 |
| 出版日期 | 2019 |
| 卷号 | 16期号:3页码:329-340 |
| 关键词 | H∞ filtering state estimation Markovian jump exponential stability linear matrix inequality (LMI) neural networks time-varying delay leakage delay. |
| ISSN号 | 1476-8186 |
| DOI | 10.1007/s11633-016-0955-9 |
| 英文摘要 | The H∞ state estimation problem for a class of stochastic neural networks with Markovian jumping parameters and leakage delay is investigated in this paper. By employing a suitable Lyapunov functional and inequality technic, the sufficient conditions for exponential stability as well as prescribed H∞ norm level of the state estimation error system are proposed and verified, and all obtained results are expressed in terms of strict linear matrix inequalities (LMIs). Examples and simulations are presented to show the effectiveness of the proposed methods, at the same time, the effect of leakage delay on stability of neural networks system and on the attenuation level of state estimator are discussed. |
| 源URL | [http://ir.ia.ac.cn/handle/173211/42341]  |
| 专题 | 自动化研究所_学术期刊_International Journal of Automation and Computing |
| 作者单位 | College of Electronics and Information Engineering, Shunde polytechnic, Foshan 528300, China |
| 推荐引用方式 GB/T 7714 | Ya-Jun Li,Zhao-Wen Huang,Jing-Zhao Li. H∞ State Estimation for Stochastic Markovian Jumping Neural Network with Time-varying Delay and Leakage Delay[J]. International Journal of Automation and Computing,2019,16(3):329-340. |
| APA | Ya-Jun Li,Zhao-Wen Huang,&Jing-Zhao Li.(2019).H∞ State Estimation for Stochastic Markovian Jumping Neural Network with Time-varying Delay and Leakage Delay.International Journal of Automation and Computing,16(3),329-340. |
| MLA | Ya-Jun Li,et al."H∞ State Estimation for Stochastic Markovian Jumping Neural Network with Time-varying Delay and Leakage Delay".International Journal of Automation and Computing 16.3(2019):329-340. |
入库方式： OAI收割
来源：自动化研究所
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