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
  • [31] Exponential Stabilization of Neutral-Type Neural Networks with Mixed Interval Time-Varying Delays by Intermittent Control: A CCL Approach
    Zhang, Guodong
    Lin, Xue
    Zhang, Xian
    CIRCUITS SYSTEMS AND SIGNAL PROCESSING, 2014, 33 (02) : 371 - 391
  • [32] New results on global exponential dissipativity analysis of memristive inertial neural networks with distributed time-varying delays
    Zhang, Guodong
    Zeng, Zhigang
    Hu, Junhao
    NEURAL NETWORKS, 2018, 97 : 183 - 191
  • [33] Global dissipativity of a class of BAM neural networks with both time-varying and continuously distributed delays
    Wang, Lisha
    Zhang, Lei
    Ding, Xiaohua
    NEUROCOMPUTING, 2015, 152 : 250 - 260
  • [34] Exponential stability of BAM neural networks with time-varying delays
    Zhang L.
    Shi B.
    Journal of Applied Mathematics and Computing, 2009, 30 (1-2) : 385 - 396
  • [35] Global dissipativity analysis on uncertain neural networks with mixed time-varying delays
    Song, Qiankun
    Cao, Jinde
    CHAOS, 2008, 18 (04)
  • [36] Exponential passivity of BAM neural networks with time-varying delays
    Du, Yuanhua
    Zhong, Shouming
    Zhou, Nan
    Nie, Lei
    Wang, Wenqin
    APPLIED MATHEMATICS AND COMPUTATION, 2013, 221 : 727 - 740
  • [37] Global Dissipativity for Quaternion Valued Inertial Neural Networks With Unbounded Time-Varying Delays
    Singh, Sunny
    Das, Subir
    Cao, Jinde
    MATHEMATICAL METHODS IN THE APPLIED SCIENCES, 2025,
  • [38] Finite-Time Passivity Analysis of Neutral-Type Neural Networks with Mixed Time-Varying Delays
    Khonchaiyaphum, Issaraporn
    Samorn, Nayika
    Botmart, Thongchai
    Mukdasai, Kanit
    MATHEMATICS, 2021, 9 (24)
  • [39] Globally exponential stability and dissipativity for nonautonomous neural networks with mixed time-varying delays
    Jiang, Minghui
    Mu, Juan
    Huang, Dasong
    NEUROCOMPUTING, 2016, 205 : 421 - 429
  • [40] On Delay-dependent Exponential Stability of Neutral-type Neural Networks with Interval Time-varying Delays
    Wu, Hongli
    Zhong, Yong
    Mai, Huanhuan
    2009 INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND COMPUTATIONAL INTELLIGENCE, VOL II, PROCEEDINGS, 2009, : 563 - +
12345