State Estimation of Fractional-Order Neural Networks with Time Delay

被引：0
作者：
Bao, Haibo [1 ]
Cao, Jinde [2 ]
机构：
[1] Southwest Univ, Sch Math & Stat, Chongqing 400715, Peoples R China
[2] Southeast Univ, Sch Math, Nanjing 210096, Jiangsu, Peoples R China
来源：
2017 CHINESE AUTOMATION CONGRESS (CAC) | 2017年
基金：
中国国家自然科学基金;
关键词：
Fractional-order; state estimation; linear matrix inequality (LMI); neural networks;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper investigates the state estimation of fractional-order neural networks (FNNs) with time delay. This is the first to study the state estimation for delayed fractional-order nonlinear system. According to fractional-order Lyapunov direct approach together with linear matrix inequalities (LMIs), sufficient criteria are given to ensure the asymptotical stability of the estimation error system. At last, numerical simulations are exploited to show the validity of the obtained resutls.
引用
收藏
页码：1573 / 1577
页数：5
相关论文
共 50 条
  • [41] Fractional-order discontinuous systems with indefinite LKFs: An application to fractional-order neural networks with time delays
    Udhayakumar, K.
    Rihan, Fathalla A.
    Rakkiyappan, R.
    Cao, Jinde
    NEURAL NETWORKS, 2022, 145 : 319 - 330
  • [42] State estimation for discrete-time neural networks with time-varying delay
    Wu, Zhengguang
    Shi, Peng
    Su, Hongye
    Chu, Jian
    INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2012, 43 (04) : 647 - 655
  • [43] On Finite-Time Stability for Fractional-Order Neural Networks with Proportional Delays
    Changjin Xu
    Peiluan Li
    Neural Processing Letters, 2019, 50 : 1241 - 1256
  • [44] New criteria of finite time synchronization of fractional-order quaternion-valued neural networks with time delay *
    Shang, Weiying
    Zhang, Weiwei
    Chen, Dingyuan
    Cao, Jinde
    APPLIED MATHEMATICS AND COMPUTATION, 2023, 436
  • [45] New results on finite-time stability of fractional-order neural networks with time-varying delay
    Nguyen T. Thanh
    P. Niamsup
    Vu N. Phat
    Neural Computing and Applications, 2021, 33 : 17489 - 17496
  • [46] New results on finite-time stability of fractional-order neural networks with time-varying delay
    Thanh, Nguyen T.
    Niamsup, P.
    Phat, Vu N.
    NEURAL COMPUTING & APPLICATIONS, 2021, 33 (24) : 17489 - 17496
  • [47] Finite-time stability of fractional-order quaternion-valued memristive neural networks with time delay
    Wang, Jingjing
    Xu, Hongbing
    Zhu, Song
    NEUROCOMPUTING, 2024, 607
  • [48] Finite-time synchronization of fractional-order fuzzy Cohen-Grossberg neural networks with time delay
    Zhao, F.
    Jian, J.
    IRANIAN JOURNAL OF FUZZY SYSTEMS, 2022, 19 (05): : 47 - 61
  • [49] Estimating the region of attraction on fractional-order complex networks with time-varying delay
    Du, Feifei
    Lu, Jun-Guo
    Zhang, Qing-Hao
    MATHEMATICS AND COMPUTERS IN SIMULATION, 2025, 234 : 438 - 458
  • [50] On Finite-Time Stability for Fractional-Order Neural Networks with Proportional Delays
    Xu, Changjin
    Li, Peiluan
    NEURAL PROCESSING LETTERS, 2019, 50 (02) : 1241 - 1256
12345