Design of state estimator for discrete-time neural networks: Delay-independent approach

被引：3
|
作者：
Park, Ju Hyun [1 ]
Jung, Ho-Youl [2 ]
Park, Chang Hyeon [3 ]
机构：
[1] Yeungnam Univ, Dept Elect Engn, Robust Control & Nonlinear Dynam Lab, Kyongsan 712749, South Korea
[2] Yeungnam Univ, Dept Informat & Commun Engn, Kyongsan 712749, South Korea
[3] Yeungnam Univ, Dept Comp Engn, Kyongsan 712749, South Korea
来源：
JOURNAL OF THE PHYSICAL SOCIETY OF JAPAN | 2008年 / 77卷 / 05期
关键词：
discrete-time neural networks; state estimation; LMI;
D O I：
10.1143/JPSJ.77.053001
中图分类号：
O4 [物理学];
学科分类号：
0702 ;
摘要：
In this Letter, the design problem of state estimator for a class of discrete-time neural networks is studied. A delay-independent linear matrix inequality (LMI) criterion for existence of the estimator is derived by using the Lyapunov method. The criterion can be easily solved by various convex optimization algorithms. A numerical example with simulation results is given to show the effectiveness of proposed method.
引用
收藏
页数：4
相关论文
共 50 条
  • [31] Delay-independent decentralized H∞ control for multi-channel discrete-time systems with uncertainties
    Ning Chen
    Wei-hua Gui
    Song-qiao Chen
    Journal of Central South University of Technology, 2008, 15 : 720 - 725
  • [32] Delay-independent decentralized H∞ control for multi-channel discrete-time systems with uncertainties
    Chen Ning
    Gui Wei-hua
    Chen Song-qiao
    JOURNAL OF CENTRAL SOUTH UNIVERSITY OF TECHNOLOGY, 2008, 15 (05): : 720 - 725
  • [33] Extended dissipative resilient estimator design for discrete-time switched neural networks with unreliable links
    Xie, Wenqian
    Zhu, Hong
    Zhong, Shouming
    Cheng, Jun
    Shi, Kaibo
    NONLINEAR ANALYSIS-HYBRID SYSTEMS, 2019, 32 : 19 - 36
  • [34] Delay-independent decentralized H∞ control for multi-channel discrete-time systems with uncertainties
    陈宁
    桂卫华
    陈松乔
    Journal of Central South University, 2008, (05) : 720 - 725
  • [35] Estimator Design for Discrete-Time Switched Neural Networks With Asynchronous Switching and Time-Varying Delay (vol 23, pg 827, 2012)
    Zhang, Dan
    Yu, Li
    Wang, Qing-Guo
    Ong, Chongjin
    IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2013, 24 (11) : 1906 - 1906
  • [36] Delay-distribution-dependent state estimation for discrete-time stochastic neural networks with random delay
    Bao, Haibo
    Cao, Jinde
    NEURAL NETWORKS, 2011, 24 (01) : 19 - 28
  • [37] Exponential stability of discrete-time neural networks with delay and impulses
    Wu, Shu-Lin
    Li, Ke-Lin
    Zhang, Jin-Shan
    APPLIED MATHEMATICS AND COMPUTATION, 2012, 218 (12) : 6972 - 6986
  • [38] Convergence of discrete-time recurrent neural networks with variable delay
    Liang, JL
    Cao, J
    Lam, J
    INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS, 2005, 15 (02): : 581 - 595
  • [39] Synchronization of Discrete-Time Stochastic Neural Networks with Random Delay
    Bao, Haibo
    Cao, Jinde
    DISCRETE DYNAMICS IN NATURE AND SOCIETY, 2011, 2011
  • [40] Exponential Stability of Discrete-Time Neural Networks With Large Delay
    Yang, Bin
    Hao, Mengnan
    Han, Min
    Zhao, Xudong
    Zong, Guangdeng
    IEEE TRANSACTIONS ON CYBERNETICS, 2021, 51 (05) : 2824 - 2834
12345