Sliding Mode Stabilization of Memristive Neural Networks With Leakage Delays and Control Disturbance

被引:11
|
作者
Sun, Bo [1 ]
Cao, Yuting [2 ]
Guo, Zhenyuan [2 ]
Yan, Zheng [3 ]
Wen, Shiping [1 ]
Huang, Tingwen [4 ]
Chen, Yiran [5 ]
机构
[1] Univ Elect Sci & Technol China, Sch Comp Sci & Engn, Chengdu 611731, Peoples R China
[2] Hunan Univ, Coll Math & Econometr, Changsha 410082, Hunan, Peoples R China
[3] Univ Technol Sydney, Fac Engn & Informat Technol, Sydney, NSW 2007, Australia
[4] Texas A&M Univ Qatar, Sci Program, Doha, Qatar
[5] Duke Univ, Dept Elect & Comp Engn, Durham, NC 27708 USA
关键词
Delays; Biological neural networks; Memristors; Immune system; Neurons; Time-varying systems; Control disturbance; leakage delay; memristive neural network (MNN); sliding mode control (SMC); stability; time-varying delay; STABILITY ANALYSIS; SYNCHRONIZATION; PASSIVITY; SYSTEMS;
D O I
10.1109/TNNLS.2020.2984000
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this article, we investigate a class of memristive neural networks (MNNs) with time-varying delays and leakage delays via sliding mode control (SMC) with and without control disturbance. SMC is used to ensure MNNs' stability. According to the characteristics of the MNNs, we consider the following three models: the first is the MNNs with time-varying delays, the second is the MNNs with time-varying delays and the control disturbance, and the third is the MNNs with time-varying delays, leakage delays, and the control disturbance. We quote some assumptions and lemmas to ensure that our main results are true. The sliding surface, the corresponding sliding mode controller, and the Lyapunov functions are constructed in different models to ensure MNNs' stability. Finally, some examples and simulations verify the validity of our main results by solving linear matrix inequality (LMI), and the conclusions and analysis of the results are given.
引用
收藏
页码:1254 / 1263
页数:10
相关论文
共 50 条
  • [41] Global stability and stabilization for inertial memristive neural networks with unbounded distributed delays
    Leimin Wang
    Ming-Feng Ge
    Junhao Hu
    Guodong Zhang
    Nonlinear Dynamics, 2019, 95 : 943 - 955
  • [42] Global Exponential Stability of Memristive Neural Networks With Mixed Time-Varying Delays
    Sheng, Yin
    Huang, Tingwen
    Zeng, Zhigang
    Miao, Xiangshui
    IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 32 (08) : 3690 - 3699
  • [43] 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
  • [44] Global stability and stabilization for inertial memristive neural networks with unbounded distributed delays
    Wang, Leimin
    Ge, Ming-Feng
    Hu, Junhao
    Zhang, Guodong
    NONLINEAR DYNAMICS, 2019, 95 (02) : 943 - 955
  • [45] Quantized synchronization of memristive neural networks with time-varying delays via super-twisting algorithm
    Sun, Bo
    Wen, Shiping
    Wang, Shengbo
    Huang, Tingwen
    Chen, Yiran
    Li, Peng
    NEUROCOMPUTING, 2020, 380 : 133 - 140
  • [46] Extended Robust Exponential Stability of Fuzzy Switched Memristive Inertial Neural Networks With Time-Varying Delays on Mode-Dependent Destabilizing Impulsive Control Protocol
    Yu, Yongbin
    Wang, Xiangxiang
    Zhong, Shouming
    Yang, Nijing
    Tashi, Nyima
    IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 32 (01) : 308 - 321
  • [47] On sampled-data control for stabilization of genetic regulatory networks with leakage delays
    Li, Li
    Yang, Yongqing
    NEUROCOMPUTING, 2015, 149 : 1225 - 1231
  • [48] Observer-based sliding mode control for synchronization of delayed chaotic neural networks with unknown disturbance
    Zhao, Yongshun
    Li, Xiaodi
    Duan, Peiyong
    NEURAL NETWORKS, 2019, 117 : 268 - 273
  • [49] Sampled-data control for mean-square exponential stabilization of memristive neural networks under deception attacks
    Yan, Lisha
    Wang, Zhen
    Zhang, Mingguang
    Fan, Yingjie
    CHAOS SOLITONS & FRACTALS, 2023, 174
  • [50] Synchronization of chaotic neural networks with mixed time delays based on sliding mode control
    Sun, Chunxiang
    ICIC Express Letters, 2015, 9 (01): : 17 - 24