Improved Results on State Estimation for Uncertain Takagi-Sugeno Fuzzy Stochastic Neural Networks with Time-Varying Delays

被引：0
|
作者：
Li, Yajun [1 ]
Deng, Feiqi [2 ]
Li, Jingzhao [1 ]
机构：
[1] Shunde Polytech, Coll Elect & Informat Engn, Foshan 528300, Peoples R China
[2] South China Univ Technol, Coll Automat Sci & Engn, Guangzhou 510641, Guangdong, Peoples R China
来源：
INTERNATIONAL JOURNAL OF NONLINEAR SCIENCES AND NUMERICAL SIMULATION | 2017年 / 18卷 / 06期
基金：
中国国家自然科学基金;
关键词：
Takagi-Sugeno; stochastic neural networks; state estimation; exponentially stable; linear matrix inequalities; EXPONENTIAL STABILITY; DISCRETE; SYSTEMS;
D O I：
10.1515/ijnsns-2016-0125
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
The delay-dependent state estimation problem for Takagi-Sugeno fuzzy stochastic neural networks with time-varying delays is considered in this paper. We aim to design state estimators to estimate the network states such that the dynamics of the estimation error systems are guaranteed to be exponentially stable in the mean square. Both fuzzy-rule-independent and the fuzzy-rule-dependent state estimators are designed. Delay-dependent sufficient conditions are presented to guarantee the existence of the desired state estimators for the fuzzy stochastic neural networks. Finally, two numerical examples demonstrate that the proposed approaches are effective.
引用
收藏
页码：495 / 505
页数：11
相关论文
共 50 条
  • [21] Novel delay-dependent stability analysis of Takagi-Sugeno fuzzy uncertain neural networks with time varying delays
    M. Syed Ali
    ChinesePhysicsB, 2012, 21 (07) : 53 - 64
  • [22] Novel delay-dependent stability analysis of Takagi-Sugeno fuzzy uncertain neural networks with time varying delays
    Syed, Ali M.
    CHINESE PHYSICS B, 2012, 21 (07)
  • [23] Asymptotic stability analysis of Takagi-Sugeno fuzzy genetic regulatory networks with time-varying delays
    Song, Zhicheng
    Zhang, Xian
    Ji, Xiaoyu
    2014 INTERNATIONAL CONFERENCE ON MECHATRONICS AND CONTROL (ICMC), 2014, : 2482 - 2487
  • [24] Improvements on PDC Controller Design for Takagi-Sugeno Fuzzy Systems with State Time-Varying Delays
    Bourahala, Faycal
    Guelton, Kevin
    Khaber, Farid
    Manamanni, Noureddine
    IFAC PAPERSONLINE, 2016, 49 (05): : 200 - 205
  • [25] Robust fault estimation for Takagi-Sugeno fuzzy systems with state time-varying delay
    You, Fuqiang
    Cheng, Shiya
    Zhang, Xinyan
    Chen, Nan
    INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING, 2020, 34 (02) : 141 - 150
  • [26] H∞ filtering design for uncertain discrete-time Takagi-Sugeno fuzzy systems with time-varying delays
    Qiu, Ji-Qing
    Wang, Yan-Jun
    Chen, Jing
    Li, Li
    PROCEEDINGS OF 2008 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7, 2008, : 1985 - 1990
  • [27] Improved results on state estimation for neural networks with time-varying delays
    Li T.
    Fei S.
    Lu H.
    Journal of Control Theory and Applications, 2010, 8 (02): : 215 - 221
  • [28] A DELAY-DEPENDENT APPROACH TO ROBUST TAKAGI-SUGENO FUZZY CONTROL OF UNCERTAIN RECURRENT NEURAL NETWORKS WITH MIXED INTERVAL TIME-VARYING DELAYS
    Tseng, K. H.
    Tsai, J. S. H.
    Lu, C. Y.
    JOURNAL OF CIRCUITS SYSTEMS AND COMPUTERS, 2011, 20 (08) : 1571 - 1589
  • [29] New Stability Criterion for Takagi-Sugeno Fuzzy Cohen-Grossberg Neural Networks with Probabilistic Time-Varying Delays
    Wang, Xiongrui
    Rao, Ruofeng
    Zhong, Shouming
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2017, 2017
  • [30] Global Lagrange Stability for Takagi-Sugeno Fuzzy Cohen-Grossberg BAM Neural Networks with Time-varying Delays
    Jingfeng Wang
    Lixin Tian
    Zaili Zhen
    International Journal of Control, Automation and Systems, 2018, 16 : 1603 - 1614
12345