Asymptotical Synchronization for Delayed Stochastic Neural Networks with Uncertainty via Adaptive Control

被引：45
|
作者：
Tong, Dongbing [1 ,2 ]
Zhang, Liping [1 ]
Zhou, Wuneng [3 ]
Zhou, Jun [3 ]
Xu, Yuhua [4 ]
机构：
[1] Shanghai Univ Engn Sci, Sch Elect & Elect Engn, Shanghai 201620, Peoples R China
[2] Fudan Univ, Sch Informat Sci & Technol, Dept Elect Engn, Shanghai 200433, Peoples R China
[3] Donghua Univ, Coll Informat Sci & Technol, Shanghai 200051, Peoples R China
[4] Nanjing Audit Univ, Sch Finance, Nanjing 211815, Jiangsu, Peoples R China
来源：
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS | 2016年 / 14卷 / 03期
基金：
中国国家自然科学基金; 上海市自然科学基金;
关键词：
Neural networks; stochastic noises; synchronization control; time-delays; uncertainty; COMPLEX DYNAMICAL NETWORKS; STATE ESTIMATION; EXPONENTIAL SYNCHRONIZATION; DISTRIBUTED DELAYS; ROBUST STABILITY; SYSTEMS; DISCRETE; MODEL;
D O I：
10.1007/s12555-015-0077-0
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, the problem of the adaptive synchronization control is considered for neural networks with uncertainty and stochastic noise. Via utilizing stochastic analysis method and linear matrix inequality (LMI) approach, several sufficient conditions to ensure the adaptive synchronization for neural networks are derived. By the adaptive feedback methods, some suitable parameters update laws are found. Finally, a simulation result is provided to substantiate the effectiveness of the proposed approach.
引用
收藏
页码：706 / 712
页数：7
相关论文
共 50 条
  • [21] Adaptive stochastic synchronization of delayed reaction-diffusion neural networks
    Zhang, Weiyuan
    Li, Junmin
    Sun, Jinghan
    Chen, Minglai
    MEASUREMENT & CONTROL, 2020, 53 (3-4) : 378 - 389
  • [22] Asymptotical Synchronization of Memristor-based Neural Networks with Time-Varying Delays via Adaptive Control
    Li, Yueheng
    Yang, Zhanyu
    Dong, Zhe
    PROCEEDINGS OF THE 36TH CHINESE CONTROL CONFERENCE (CCC 2017), 2017, : 4012 - 4017
  • [23] Quasi-Synchronization of Delayed Memristive Neural Networks via a Hybrid Impulsive Control
    Zhou, Yufeng
    Zhang, Hao
    Zeng, Zhigang
    IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 51 (03): : 1954 - 1965
  • [24] Lag synchronization of chaotic delayed neural networks via impulsive control
    Li, Xiaodi
    Fu, Xilin
    IMA JOURNAL OF MATHEMATICAL CONTROL AND INFORMATION, 2012, 29 (01) : 133 - 145
  • [25] Synchronization of delayed neural networks with hybrid coupling via impulsive control
    Yu, Tianhu
    Wang, Huamin
    Cao, Dengqing
    TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL, 2019, 41 (13) : 3714 - 3724
  • [26] A new synchronization algorithm for delayed complex dynamical networks via adaptive control approach
    Guo, Xiaoyong
    Li, Junmin
    COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION, 2012, 17 (11) : 4395 - 4403
  • [27] Synchronization of multiplex networks with stochastic perturbations via pinning adaptive control *
    Jin, Xin
    Wang, Zhengxin
    Yang, Huihui
    Song, Qiang
    Xiao, Min
    JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2021, 358 (07): : 3994 - 4012
  • [28] SYNCHRONIZATION OF STOCHASTIC DELAYED NEURAL NETWORKS WITH MARKOVIAN SWITCHING AND ITS APPLICATION
    Tang, Yang
    Fang, Jian-An
    Miao, Qing-Ying
    INTERNATIONAL JOURNAL OF NEURAL SYSTEMS, 2009, 19 (01) : 43 - 56
  • [29] Synchronization of neural networks with stochastic perturbation via aperiodically intermittent control
    Zhang, Wei
    Li, Chuandong
    Huang, Tingwen
    Xiao, Mingqing
    NEURAL NETWORKS, 2015, 71 : 105 - 111
  • [30] Stochastic Synchronization of Complex Networks With Nonidentical Nodes Via Hybrid Adaptive and Impulsive Control
    Yang, Xinsong
    Cao, Jinde
    Lu, Jianquan
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, 2012, 59 (02) : 371 - 384
12345