Dissipativity Results for Memristor-based Recurrent Neural Networks with Mixed Delays

被引：0
|
作者：
Zhong, Kai [1 ]
Zhu, Song [1 ]
Yang, Qiqi [1 ]
机构：
[1] China Univ Min & Technol, Coll Sci, Xuzhou 221116, Peoples R China
来源：
2015 SIXTH INTERNATIONAL CONFERENCE ON INTELLIGENT CONTROL AND INFORMATION PROCESSING (ICICIP) | 2015年
关键词：
memristor-based recurrent neural networks; discrete delay; distributed delay; Lyapunov functional; GLOBAL EXPONENTIAL STABILITY; TIME-VARYING DELAYS; ROBUST DISSIPATIVITY; UNBOUNDED DELAYS; CIRCUIT; SYNCHRONIZATION; DISCRETE; SYSTEMS;
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 analyzes a class of memristor-based recurrent neural networks with mixed delays involving both discrete and distributed delays by constructing appropriate Lyapunov functionals and using some analytic techniques. Two new adequacy criteria concerning the dissipativity of the addressed neural networks are obtained. Finally, a numerical example is discussed in detail to substantiate our theoretical results.
引用
收藏
页码：406 / 411
页数：6
相关论文
共 50 条
  • [1] New Synchronization Criteria for Memristor-based Recurrent Neural Networks with Mixed Delays
    Wang, Xiangxiang
    Yang, Nijing
    Ma, Huihui
    Yang, Chenyu
    Yu, Yongbin
    Zhong, Shouming
    Nyima, Tashi
    2017 14TH INTERNATIONAL WORKSHOP ON COMPLEX SYSTEMS AND NETWORKS (IWCSN), 2017, : 210 - 217
  • [2] Global exponential dissipativity and stabilization of memristor-based recurrent neural networks with time-varying delays
    Guo, Zhenyuan
    Wang, Jun
    Yan, Zheng
    NEURAL NETWORKS, 2013, 48 : 158 - 172
  • [3] Dissipativity Research on Memristor-based Neural Networks with Time-varying Delays
    Zhang F.
    Li Z.
    Li, Zhi (zhli@xidian.edu.cn), 1600, Sichuan University (49): : 129 - 136
  • [4] Dissipativity analysis of stochastic memristor-based recurrent neural networks with discrete and distributed time-varying delays
    Radhika, Thirunavukkarasu
    Nagamani, Gnaneswaran
    NETWORK-COMPUTATION IN NEURAL SYSTEMS, 2016, 27 (04) : 237 - 267
  • [5] Passivity analysis of memristor-based recurrent neural networks with mixed time-varying delays
    Meng, Zhendong
    Xiang, Zhengrong
    NEUROCOMPUTING, 2015, 165 : 270 - 279
  • [6] Global exponential stability of uncertain memristor-based recurrent neural networks with mixed time delays
    Jianmin Wang
    Fengqiu Liu
    Sitian Qin
    International Journal of Machine Learning and Cybernetics, 2019, 10 : 743 - 755
  • [7] Global exponential stability of uncertain memristor-based recurrent neural networks with mixed time delays
    Wang, Jianmin
    Liu, Fengqiu
    Qin, Sitian
    INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS, 2019, 10 (04) : 743 - 755
  • [8] Exponential synchronization of memristor-based recurrent neural networks with time delays
    Wu, Ailong
    Zeng, Zhigang
    Zhu, Xusheng
    Zhang, Jine
    NEUROCOMPUTING, 2011, 74 (17) : 3043 - 3050
  • [9] Adaptive synchronization of memristor-based BAM neural networks with mixed delays
    Chen, Chuan
    Li, Lixiang
    Peng, Haipeng
    Yang, Yixian
    APPLIED MATHEMATICS AND COMPUTATION, 2018, 322 : 100 - 110
  • [10] Adaptive Synchronization of Stochastic Memristor-Based Neural Networks with Mixed Delays
    Yinfang Song
    Wen Sun
    Neural Processing Letters, 2017, 46 : 969 - 990
12345