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Improved Delay-dependent Robust Stability Analysis for Neutral-type Uncertain Neural Networks with Markovian jumping Parameters and Time-varying Delays

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WOS被引频次:22
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成果类型:
期刊论文
作者:
Xia, Jianwei;Park, Ju H.*;Zeng, Hongbing
通讯作者:
Park, Ju H.
作者机构:
[Park, Ju H.; Xia, Jianwei] Department of Electrical Engineering, Yeungnam University, 214-1 Dae-Dong, Kyongsan, Korea, Republic of
[Xia, Jianwei] School of Mathematics Science, Liaocheng University, Shandong, China
[Zeng, Hongbing] School of Electrical and Information Engineering, Hunan University of Technology, Zhuzhou, China
通讯机构:
[Park, Ju H.] Yeungnam Univ, Dept Elect Engn, 214-1 Dae Dong, Kyongsan 712749, South Korea.
语种:
英文
关键词:
LMIs - Markovian jumping parameters - Neutral-type neural networks - Stochastic stability - Time-varying delay
期刊:
NEUROCOMPUTING
ISSN:
0925-2312
年:
2015
卷:
149
期:
PC
页码:
1198-1205
文献类别:
WOS:Article;EI:Journal article (JA)
所属学科:
ESI学科类别:计算机科学;WOS学科类别:Computer Science, Artificial Intelligence
入藏号:
WOS:000356105100007;EI:20144900276319
基金类别:
National Natural Science Foundation of China [61004046, 61104117]; National Research Foundation of Korea (NRF) - Ministry of Education, Science and Technology [2013R1A1A2A 10005201]
机构署名:
本校为其他机构
院系归属:
电气与信息工程学院
摘要:
This paper deals with the problem of robust stochastic stability analysis for a class of neutral-type uncertain neural networks with Markovian jumping parameters and time-varying delays. By introducing an novel mode-dependent Augmented Lyapunov-Krasovskii functional with delay partitioning and Wirtinger-based integral inequality techniques, some improved delay-dependent stochastically stable conditions are proposed in the form of LMIs. Numerical simulations are provided to show the effectiveness and less conservatism of the results. (c) 2014 Elsevier B.V. All rights reserved.
参考文献:
Xia JW, 2012, J FRANKLIN I, V349, P741, DOI 10.1016/j.jfranklin.2011.09.009
Chen WM, 2013, NEUROCOMPUTING, V120, P569, DOI 10.1016/j.neucom.2013.04.013
Zhang D, 2014, NEUROCOMPUTING, V139, P321, DOI 10.1016/j.neucom.2014.02.025
Xia JW, 2014, NEUROCOMPUTING, V140, P210, DOI 10.1016/j.neucom.2014.03.022
Ma Q, 2011, NEUROCOMPUTING, V74, P2157, DOI 10.1016/j.neucom.2011.01.016

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