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
  • [21] Integral Sliding Mode Exponential Synchronization of Inertial Memristive Neural Networks with Time Varying Delays
    Hui, Meng
    Yan, Jiefei
    NEURAL PROCESSING LETTERS, 2023, 55 (03) : 2725 - 2742
  • [22] H∞ stabilization problem for memristive neural networks with time-varying delays
    Ghous, Imran
    Lu, Jian
    Duan, Zhaoxia
    INFORMATION SCIENCES, 2022, 607 : 27 - 43
  • [23] Exponential Stabilization of Fuzzy Memristive Neural Networks With Hybrid Unbounded Time-Varying Delays
    Sheng, Yin
    Lewis, Frank L.
    Zeng, Zhigang
    IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 30 (03) : 739 - 750
  • [24] Exponential and fixed-time stabilization of memristive neural networks with mixed delays
    Liu, Yun
    Gao, Xingbao
    MATHEMATICAL METHODS IN THE APPLIED SCIENCES, 2021, 44 (08) : 7275 - 7293
  • [25] Lagrange Stability and Finite-Time Stabilization of Fuzzy Memristive Neural Networks With Hybrid Time-Varying Delays
    Sheng, Yin
    Lewis, Frank L.
    Zeng, Zhigang
    Huang, Tingwen
    IEEE TRANSACTIONS ON CYBERNETICS, 2020, 50 (07) : 2959 - 2970
  • [26] Synchronization of uncertain chaotic neural networks with time delays based on sliding mode control
    Li Guanjun
    PROCEEDINGS OF THE 35TH CHINESE CONTROL CONFERENCE 2016, 2016, : 786 - 789
  • [27] Synchronization of discrete-time recurrent neural networks with time-varying delays via quantized sliding mode control
    Sun, Bo
    Cao, Yuting
    Guo, Zhenyuan
    Yan, Zheng
    Wen, Shiping
    APPLIED MATHEMATICS AND COMPUTATION, 2020, 375
  • [28] Design disturbance attenuating controller for memristive recurrent neural networks with mixed time-varying delays
    Xiao, Jianying
    Zhong, Shouming
    Xu, Fang
    ADVANCES IN DIFFERENCE EQUATIONS, 2018,
  • [29] Event-Triggered Exponential Synchronization for Complex-Valued Memristive Neural Networks With Time-Varying Delays
    Li, Xiaofan
    Zhang, Wenbing
    Fang, Jian-An
    Li, Huiyuan
    IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 31 (10) : 4104 - 4116
  • [30] Event-Triggered Stabilization for Takagi-Sugeno Fuzzy Complex-Valued Memristive Neural Networks With Mixed Time-Varying Delays
    Li, Xiaofan
    Huang, Tingwen
    Fang, Jian-An
    IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2021, 29 (07) : 1853 - 1863