Improved robust stability criteria for discrete-time neural networks

被引：0
|
作者：
Liu, Zixin [1 ,2 ]
Lü, Shu [1 ]
Zhong, Shouming [1 ]
Ye, Mao [3 ]
机构：
[1] School of Applied Mathematics, University of Electronic Science and Technology of China, Chengdu, 610054, China
[2] School of Mathematics and Statistics, Guizhou College of Finance and Economics, Guiyang, 550004, China
[3] School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 610054, China
来源：
World Academy of Science, Engineering and Technology | 2010年 / 67卷
关键词：
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：304 / 309
相关论文
共 50 条
  • [1] Improved robust stability criteria for discrete-time neural networks
    Liu, Zixin
    Lü, Shu
    Zhong, Shouming
    Ye, Mao
    World Academy of Science, Engineering and Technology, 2010, 43 : 304 - 309
  • [2] Improved robust stability criteria for discrete-time neural networks
    Liu, Zixin
    Lü, Shu
    Zhong, Shouming
    Ye, Mao
    International Journal of Computational and Mathematical Sciences, 2010, 4 (01): : 23 - 28
  • [3] Novel robust stability criteria of discrete-time stochastic recurrent neural networks with time delay
    Zhang, Yijun
    Xu, Shengyuan
    Zeng, Zhenping
    NEUROCOMPUTING, 2009, 72 (13-15) : 3343 - 3351
  • [4] Robust stability criteria for discrete-time switched neural networks with various activation functions
    Arunkumar, A.
    Sakthivel, R.
    Mathiyalagan, K.
    Anthoni, S. Marshal
    APPLIED MATHEMATICS AND COMPUTATION, 2012, 218 (22) : 10803 - 10816
  • [5] Improved exponential stability criteria for discrete-time neural networks with time-varying delay
    Liu, Zixin
    Lue, Shu
    Zhong, Shouming
    Ye, Mao
    NEUROCOMPUTING, 2010, 73 (4-6) : 975 - 985
  • [6] Robust global stability of discrete-time recurrent neural networks
    Mahmoud, M. S.
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART I-JOURNAL OF SYSTEMS AND CONTROL ENGINEERING, 2009, 223 (I8) : 1045 - 1053
  • [7] Improved Stability Criteria for Discrete-Time Stochastic Neural Networks with Randomly Time-Varying Delays
    Luo, Mengzhuo
    Zhong, Shouming
    BIO-INSPIRED COMPUTING AND APPLICATIONS, 2012, 6840 : 8 - 13
  • [8] New Improved Exponential Stability Criteria for Discrete-Time Neural Networks with Time-Varying Delay
    Liu, Zixin
    Lv, Shu
    Zhong, Shouming
    Ye, Mao
    DISCRETE DYNAMICS IN NATURE AND SOCIETY, 2009, 2009
  • [9] Improved criteria of delay-dependent stability for discrete-time neural networks with leakage delay
    Shan, Yaonan
    Zhong, Shouming
    Cui, Jinzhong
    Hou, Liyuan
    Li, Yuanyuan
    NEUROCOMPUTING, 2017, 266 : 409 - 419
  • [10] Global robust stability of a class of discrete-time interval neural networks
    Hu, SQ
    Wang, J
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, 2006, 53 (01) : 129 - 138
12345