filtering for discrete-time fuzzy stochastic neural networks with mixed time-delays

被引：0

作者：

Li, Yajun ^{[1
]}

Xiao, Wenping ^{[1
]}

Li, Jingzhao ^{[1
]}

Jiao, Like ^{[1
]}

机构：

[1] Shunde Polytech, Coll Elect & Informat Engn, Foshan 528300, Peoples R China

来源：

JOURNAL OF APPLIED MATHEMATICS AND COMPUTING | 2016年 / 52卷 / 1-2期

关键词：

Asymptotically mean square stable; Stochastic discrete neural networks; Linear matrix inequality(LMI); H-infinity filtering; Fuzzy systems;

D O I：

10.1007/s12190-015-0926-2

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

The filter problem for a class of fuzzy stochastic discrete neural networks system with mixed delays is studied in this paper. The mixed delays consist of discrete and distributed delays. Based on discrete inequality technic and the Lyapunov-Krasovskii functional approach, sufficient conditions for the existence of admissible filters are established in terms of linear matrix inequalities, which ensure the asymptotical mean-square stability as well as a prescribed disturbance attenuation level. Examples and simulations are provided to illustrate the effectiveness of the proposed method.

引用

页码：1 / 26

页数：26

共 40 条

[1] Robust stochastic stability of discrete-time fuzzy Markovian jump neural networks [J].

Arunkumar, A. ;

Sakthivel, R. ;

Mathiyalagan, K. ;

Park, Ju H. .

ISA TRANSACTIONS, 2014, 53 (04) :1006-1014

[2] Robust stability analysis for discrete-time uncertain neural networks with leakage time-varying delay [J].

Banu, L. Jarina ;

Balasubramaniam, P. ;

Ratnavelu, K. .

NEUROCOMPUTING, 2015, 151 :808-816

[3] Robust Nonfragile H∞ Filtering of Fuzzy Systems With Linear Fractional Parametric Uncertainties [J].

Chang, Xiao-Heng .

IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2012, 20 (06) :1001-1011

[4] Robust Stability Analysis for Stochastic Neural Networks With Time-Varying Delay [J].

Chen, Wu-Hua ;

Zheng, Wei Xing .

IEEE TRANSACTIONS ON NEURAL NETWORKS, 2010, 21 (03) :508-514

[5] Robust H∞ filtering for discrete switched systems with interval time-varying delay [J].

Chung, Long-Yeu ;

Lien, Chang-Hua ;

Yu, Ker-Wei ;

Chen, Jenq-Der .

SIGNAL PROCESSING, 2014, 94 :661-669

[6] Robust delay-dependent exponential stability for uncertain stochastic neural networks with mixed delays [J].

Deng, Feiqi ;

Hua, Mingang ;

Liu, Xinzhi ;

Peng, Yunjian ;

Fei, Juntao .

NEUROCOMPUTING, 2011, 74 (10) :1503-1509

[7] Reliable H∞ filter design for discrete-time systems with sector-bounded nonlinearities: An LMI optimization approach [J].

Guo, Xiang-Gui ;

Yang, Guang-Hong .

Zidonghua Xuebao/ Acta Automatica Sinica, 2009, 35 (10) :1347-1351

[8] H∞ filtering for discrete-time systems with time-varying delay [J].

He, Yong ;

Liu, Guo-Ping ;

Rees, D. ;

Wu, Min .

SIGNAL PROCESSING, 2009, 89 (03) :275-282

[9]

Hua M., 2014, J FRANKLIN I, DOI [10.1016/J.FranklinInst.11.009, DOI 10.1016/J.FRANKLININST.11.009]

[10] Robust delay-range-dependent non-fragile H∞ filtering for uncertain neutral stochastic systems with Markovian switching and mode-dependent time delays [J].

Hua, Mingang ;

Tan, Huasheng ;

Chen, Junfeng ;

Fei, Juntao .

JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2015, 352 (03) :1318-1341

← 1 2 3 4 →