Finite time impulsive synchronization of fractional order memristive BAM neural networks

被引:50
|
作者
Zhang, Lingzhong [1 ,2 ]
Yang, Yongqing [2 ]
机构
[1] Changshu Inst Technol, Sch Elect Engn & Automat, Changshu 215500, Jiangsu, Peoples R China
[2] Jiangnan Univ, Sch Sci, Wuxi 214122, Jiangsu, Peoples R China
关键词
Memristor; Impulsive control; Finite time synchronization; BAM Neural networks; CHAOTIC SYSTEMS; STABILIZATION;
D O I
10.1016/j.neucom.2019.12.056
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper is concerned with the finite time impulsive synchronization problem of fractional order memristive BAM neural networks (MBAMNNs) with switching jumps mismatch. By utilizing the properties of fractional calculus and comparison principle, a novel fractional order result about finite time impulsive stability is obtained. In the light of the double layer structure of fractional order MBAMNNs, two impulsive controllers are designed for the response fractional order MBAMNNs. By combing properties of Gamma functions and some analysis techniques of impulsive interval, several sufficient conditions are given which ensure finite time synchronization of fractional order MBAMNNs, and the upper bound of the setting time for synchronization is estimated, which is related to the fractional order of the system. Finally, numerical simulation is provided to demonstrate the effectiveness of the obtained results. (C) 2019 Elsevier B.V. All rights reserved.
引用
收藏
页码:213 / 224
页数:12
相关论文
共 50 条
  • [1] Different impulsive effects on synchronization of fractional-order memristive BAM neural networks
    Zhang, Lingzhong
    Yang, Yongqing
    [J]. NONLINEAR DYNAMICS, 2018, 93 (02) : 233 - 250
  • [2] Different impulsive effects on synchronization of fractional-order memristive BAM neural networks
    Lingzhong Zhang
    Yongqing Yang
    [J]. Nonlinear Dynamics, 2018, 93 : 233 - 250
  • [3] Finite-Time Synchronization for Stochastic Fractional-Order Memristive BAM Neural Networks with Multiple Delays
    Chen, Lili
    Gong, Minghao
    Zhao, Yanfeng
    Liu, Xin
    [J]. FRACTAL AND FRACTIONAL, 2023, 7 (09)
  • [4] Finite-time Mittag-Leffler synchronization of fractional-order memristive BAM neural networks with time delays
    Xiao, Jianying
    Zhong, Shouming
    Li, Yongtao
    Xu, Fang
    [J]. NEUROCOMPUTING, 2017, 219 : 431 - 439
  • [5] Finite-Time Synchronization of Memristive Neural Networks With Fractional-Order
    Yang, Shuai
    Yu, Juan
    Hu, Cheng
    Jiang, Haijun
    [J]. IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 51 (06): : 3739 - 3750
  • [6] Finite-time synchronization of fractional-order delayed memristive fuzzy neural networks
    Zhao, Feng
    Jian, Jigui
    Wang, Baoxian
    [J]. FUZZY SETS AND SYSTEMS, 2023, 467
  • [7] Synchronization of fractional-order memristive neural networks with time delays
    Chen, Chong
    Ding, Zhixia
    Li, Sai
    Wang, Liheng
    [J]. 2019 CHINESE AUTOMATION CONGRESS (CAC2019), 2019, : 2754 - 2759
  • [8] Finite-time synchronization control of fractional-order memristive neural networks with time varying delays
    Liu, Yihong
    Sun, Yeguo
    [J]. PROCEEDINGS OF THE 32ND 2020 CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2020), 2020, : 3231 - 3237
  • [9] Novel controller design for finite-time synchronization of fractional-order memristive neural networks
    Xiao, Jian
    Wu, Lin
    Wu, Ailong
    Zeng, Zhigang
    Zhang, Zhe
    [J]. NEUROCOMPUTING, 2022, 512 : 494 - 502
  • [10] Synchronization for delayed memristive BAM neural networks using impulsive control with random nonlinearities
    Mathiyalagan, K.
    Park, Ju H.
    Sakthivel, R.
    [J]. APPLIED MATHEMATICS AND COMPUTATION, 2015, 259 : 967 - 979