Stability analysis of stochastic memristor-based recurrent neural networks with mixed time-varying delays

被引：0
|
作者：
Zhendong Meng
Zhengrong Xiang
机构：
[1] Nanjing University of Science and Technology,School of Automation
来源：
Neural Computing and Applications | 2017年 / 28卷
关键词：
Memristor; Recurrent neural networks; Asymptotic stability; Exponential stability; Time-varying delays;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
In this paper, the stability problem of stochastic memristor-based recurrent neural networks with mixed time-varying delays is investigated. Sufficient conditions are established in terms of linear matrix inequalities which can guarantee that the stochastic memristor-based recurrent neural networks are asymptotically stable and exponentially stable in the mean square, respectively. Two examples are given to demonstrate the effectiveness of the obtained results.
引用
收藏
页码：1787 / 1799
页数：12
相关论文
共 50 条
  • [1] Stability analysis of stochastic memristor-based recurrent neural networks with mixed time-varying delays
    Meng, Zhendong
    Xiang, Zhengrong
    [J]. NEURAL COMPUTING & APPLICATIONS, 2017, 28 (07): : 1787 - 1799
  • [2] Exponential stability of stochastic memristor-based recurrent neural networks with time-varying delays
    Li, Jun
    Hu, Manfeng
    Guo, Liuxiao
    [J]. NEUROCOMPUTING, 2014, 138 : 92 - 98
  • [3] Passivity analysis of memristor-based recurrent neural networks with mixed time-varying delays
    Meng, Zhendong
    Xiang, Zhengrong
    [J]. NEUROCOMPUTING, 2015, 165 : 270 - 279
  • [4] Exponential stability analysis of memristor-based recurrent neural networks with time-varying delays
    Wen, Shiping
    Zeng, Zhigang
    Huang, Tingwen
    [J]. NEUROCOMPUTING, 2012, 97 : 233 - 240
  • [5] Passivity analysis of memristor-based recurrent neural networks with time-varying delays
    Wen, Shiping
    Zeng, Zhigang
    Huang, Tingwen
    Chen, Yiran
    [J]. JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2013, 350 (08): : 2354 - 2370
  • [6] Passivity Analysis of Stochastic Memristor-Based Complex-Valued Recurrent Neural Networks with Mixed Time-Varying Delays
    Jian Guo
    Zhendong Meng
    Zhengrong Xiang
    [J]. Neural Processing Letters, 2018, 47 : 1097 - 1113
  • [7] Passivity Analysis of Stochastic Memristor-Based Complex-Valued Recurrent Neural Networks with Mixed Time-Varying Delays
    Guo, Jian
    Meng, Zhendong
    Xiang, Zhengrong
    [J]. NEURAL PROCESSING LETTERS, 2018, 47 (03) : 1097 - 1113
  • [8] Exponential stability and periodicity of memristor-based recurrent neural networks with time-varying delays
    Zhang, Wei
    Li, Chuandong
    Huang, Tingwen
    [J]. INTERNATIONAL JOURNAL OF BIOMATHEMATICS, 2017, 10 (02)
  • [9] Dissipativity analysis of stochastic memristor-based recurrent neural networks with discrete and distributed time-varying delays
    Radhika, Thirunavukkarasu
    Nagamani, Gnaneswaran
    [J]. NETWORK-COMPUTATION IN NEURAL SYSTEMS, 2016, 27 (04) : 237 - 267
  • [10] Global exponential stability of a class of memristor-based recurrent neural networks with time-varying delays
    Zhang, Guodong
    Shen, Yi
    Sun, Junwei
    [J]. NEUROCOMPUTING, 2012, 97 : 149 - 154
12345