Exponential stabilisation of memristive neural networks under intermittent output feedback control

被引：7
|
作者：
Li, Xiaofan [1 ,2 ]
Fang, Jian-an [2 ]
Li, Huiyuan [1 ]
机构：
[1] Yancheng Inst Technol, Sch Elect Engn, Yancheng, Peoples R China
[2] Donghua Univ, Sch Informat Sci & Technol, Shanghai, Peoples R China
来源：
INTERNATIONAL JOURNAL OF CONTROL | 2018年 / 91卷 / 08期
关键词：
Memristive time-varying delayed neural networks; exponential stabilisation; intermittent control; TIME-VARYING DELAYS; COMPLEX NETWORKS; SYNCHRONIZATION; STABILITY; DISCRETE; SYSTEMS; MODEL;
D O I：
10.1080/00207179.2017.1333155
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 exponential stabilisation problem is studied for a general class of memristive time-varying delayed neural networks under periodically intermittent output feedback control. First, the periodically intermittent output feedback control rule is designed for the exponential stabilisation of the memristive time-varying delayed neural networks. Then, we derive stabilisation criteria so that the memristive time-varying delayed neural networks are exponentially stable. By the mathematical induction method and constructing suitable Lyapunov-Krasovskii functionals, some easy-to-check criteria are obtained to ensure the exponential stabilisation of memristive time-varying delayed neural networks. Finally, two numerical simulation examples are given to illustrate the validity of the obtained results.
引用
收藏
页码：1848 / 1860
页数：13
相关论文
共 50 条
  • [21] Exponential quasi-synchronization of coupled delayed memristive neural networks via intermittent event-triggered control
    Chen, Jiejie
    Chen, Boshan
    Zeng, Zhigang
    NEURAL NETWORKS, 2021, 141 (141) : 98 - 106
  • [22] Exponential passivity for output feedback stabilisation of nonlinear uncertain systems
    Benabdallah, Amel
    INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2010, 41 (11) : 1363 - 1368
  • [23] Finite-time synchronization of fractional-order memristive neural networks via feedback and periodically intermittent control
    Hui, Meng
    Wei, Chen
    Zhang, Jiao
    Iu, Herbert Ho-Ching
    Yao, Rui
    Bai, Lin
    COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION, 2023, 116
  • [24] Synchronization of coupled memristive inertial delayed neural networks with impulse and intermittent control
    Zhang, Wei
    Qi, Jiangtao
    NEURAL COMPUTING & APPLICATIONS, 2021, 33 (13): : 7953 - 7964
  • [25] Synchronization of coupled memristive inertial delayed neural networks with impulse and intermittent control
    Wei Zhang
    Jiangtao Qi
    Neural Computing and Applications, 2021, 33 : 7953 - 7964
  • [26] Synchronization of memristive neural networks with mixed delays via quantized intermittent control
    Feng, Yuming
    Yang, Xinsong
    Song, Qiang
    Cao, Jinde
    APPLIED MATHEMATICS AND COMPUTATION, 2018, 339 : 874 - 887
  • [27] Event-triggered control for robust exponential synchronization of inertial memristive neural networks under parameter disturbance
    Yao, Wei
    Wang, Chunhua
    Sun, Yichuang
    Gong, Shuqing
    Lin, Hairong
    NEURAL NETWORKS, 2023, 164 : 67 - 80
  • [28] Cluster output synchronization for memristive neural networks
    Zhou, Chao
    Wang, Chunhua
    Sun, Yichuang
    Yao, Wei
    Lin, Hairong
    INFORMATION SCIENCES, 2022, 589 : 459 - 477
  • [29] Cluster output synchronization for memristive neural networks
    Zhou, Chao
    Wang, Chunhua
    Sun, Yichuang
    Yao, Wei
    Lin, Hairong
    Information Sciences, 2022, 589 : 459 - 477
  • [30] Circuit design and exponential stabilization of memristive neural networks
    Wen, Shiping
    Huang, Tingwen
    Zeng, Zhigang
    Chen, Yiran
    Li, Peng
    NEURAL NETWORKS, 2015, 63 : 48 - 56
12345