Global exponential dissipativity of neutral-type BAM inertial neural networks with mixed time-varying delays

被引：32
|
作者：
Duan, Liyan [1 ]
Jian, Jigui [1 ,2 ]
Wang, Baoxian [1 ,2 ]
机构：
[1] China Three Gorges Univ, Coll Sci, Yichang 443002, Hubei, Peoples R China
[2] China Three Gorges Univ, Three Gorges Math Res Ctr, Yichang 443002, Hubei, Peoples R China
来源：
NEUROCOMPUTING | 2020年 / 378卷
基金：
中国国家自然科学基金;
关键词：
BAM inertial neural network; Dissipativity; Globally exponentially attractive set; Neutral-type; Mixed time-varying delay; Inequality; STABILITY ANALYSIS; DISCRETE; SYNCHRONIZATION; STABILIZATION; SYSTEMS; LEAKAGE;
D O I：
10.1016/j.neucom.2019.10.082
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 considers the global exponential dissipativity of neutral-type BAM inertial neural networks with mixed time-varying delays. Firstly, we transform the proposed BAM inertial neural networks to usual one. Secondly, by establishing a new neutral-type differential inequality and employing Lyapunov method and analytical techniques, some novel sufficient conditions in accordance with algebraic and linear matrix inequalities are obtained for the global exponential dissipativity of the addressed neural networks. Moreover, the globally exponentially attractive sets and the exponential convergence rate index are also assessed. Finally, the effectiveness of the obtained results is illustrated by some examples with numerical simulations. (C) 2019 Elsevier B.V. All rights reserved.
引用
收藏
页码：399 / 412
页数：14
相关论文
共 50 条
  • [11] Global Robust Exponential Dissipativity of Uncertain Second-Order BAM Neural Networks With Mixed Time-Varying Delays
    Wu, Kai
    Jian, Jigui
    IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 32 (12) : 5675 - 5687
  • [12] Global Exponential Stability for Neutral-type Uncertain Dynamic Neural Networks With Hybrid Time-varying Delays
    Wu, Liang
    Zhao, Lei
    Liu, Jiefang
    Zhao, Yingfeng
    PROCEEDINGS OF 2010 INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND INDUSTRIAL ENGINEERING, VOLS I AND II, 2010, : 655 - 659
  • [13] Global exponential stability of neutral-type octonion-valued neural networks with time-varying delays
    Popa, Calin-Adrian
    NEUROCOMPUTING, 2018, 309 : 117 - 133
  • [14] Global dissipativity of a class of BAM neural networks with time-varying and unbound delays
    Tu, Zhengwen
    Wang, Liangwei
    Zha, Zhongwei
    Jian, Jigui
    COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION, 2013, 18 (09) : 2562 - 2570
  • [15] Global Lagrange Stability of Inertial Neutral Type Neural Networks with Mixed Time-Varying Delays
    Liyan Duan
    Jigui Jian
    Neural Processing Letters, 2020, 51 : 1849 - 1867
  • [16] Global Lagrange Stability of Inertial Neutral Type Neural Networks with Mixed Time-Varying Delays
    Duan, Liyan
    Jian, Jigui
    NEURAL PROCESSING LETTERS, 2020, 51 (02) : 1849 - 1867
  • [17] Global stability for neural networks of neutral-type with interval time-varying delays
    Park, Ju H.
    Kwon, O. M.
    CHAOS SOLITONS & FRACTALS, 2009, 41 (03) : 1174 - 1181
  • [18] Global exponential stability for BAM neural networks with time-varying delays
    Zong, Guangdeng
    Wu, Yanfeng
    Hou, Linlin
    2008 CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-11, 2008, : 2500 - 2505
  • [19] Global dissipativity and exponential synchronization of mixed time-varying delays neural networks with discontinuous activations
    Fei, Kaifang
    Jiang, Minghui
    Yan, Meng
    Liu, Weizhen
    INTERNATIONAL JOURNAL OF NONLINEAR SCIENCES AND NUMERICAL SIMULATION, 2020, 21 (7-8) : 693 - 704
  • [20] Global point dissipativity of neural networks with mixed time-varying delays
    Cao, JD
    Yuan, K
    Ho, DWC
    Lam, J
    CHAOS, 2006, 16 (01)
12345