Passivity and robust passivity of impulsive inertial neural networks with proportional delays under the non-reduced order approach

被引:4
|
作者
Zhang, Jun [1 ]
Zhu, Song [1 ,2 ]
机构
[1] China Univ Min & Technol, Sch Math, Xuzhou 221116, Peoples R China
[2] Jiangsu Ctr Appl Math CUMT, Xuzhou 221116, Peoples R China
关键词
Inertial neural networks; Non-reduced order; Proportional delays; Passivity; Robust passivity; TIME-VARYING DELAYS; STABILITY ANALYSIS; SYNCHRONIZATION; DISCRETE; BIFURCATION; CRITERIA;
D O I
10.1016/j.neucom.2024.127322
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 primarily addresses the problems of passivity and robust passivity of impulsive inertial neural networks (IINNs) with proportional delays. By constructing the Lyapunov functional directly on the original system using the non -reduced order approach, some passivity and robust passivity criteria for IINNs are addressed. In comparison with the order reduction method utilized in the existing articles, the non -reduced order method is more in line with real requirements and can better analyze the dynamic behavior of inertial neural networks (INNs). Meanwhile, the results in this paper are all in algebraic form, which are easy to verify. To demonstrate the effectiveness of the results derived, numerical examples are presented at the end.
引用
收藏
页数:7
相关论文
共 50 条
  • [1] Passivity and robust passivity of inertial memristive neural networks with time-varying delays via non-reduced order method
    Xu, Weizhe
    Li, Zihao
    Zhu, Song
    NEURAL NETWORKS, 2025, 184
  • [2] Exponential stability of inertial neural networks involving proportional delays and non-reduced order method
    Huang, Chuangxia
    JOURNAL OF EXPERIMENTAL & THEORETICAL ARTIFICIAL INTELLIGENCE, 2020, 32 (01) : 133 - 146
  • [3] Passivity analysis of coupled inertial neural networks with time-varying delays and impulsive effects
    Ding, Xiao-shuai
    Cao, Jin-de
    Alsaadi, Fuad E.
    PRAMANA-JOURNAL OF PHYSICS, 2018, 91 (05):
  • [4] Periodicity of non-autonomous inertial neural networks involving proportional delays and non-reduced order method
    Huang, Chuangxia
    Zhang, Hua
    INTERNATIONAL JOURNAL OF BIOMATHEMATICS, 2019, 12 (02)
  • [5] Passivity of Memristor-Based Inertial Neural Networks with Multi-Proportional Delays
    Song, Yinfang
    2018 NINTH INTERNATIONAL CONFERENCE ON INTELLIGENT CONTROL AND INFORMATION PROCESSING (ICICIP), 2018, : 312 - 317
  • [6] Passivity of Inertial Neural Networks With Delays on Time Scales
    Xiao, Qiang
    Wang, Lingyu
    Huang, Tingwen
    2017 13TH INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND SECURITY (CIS), 2017, : 187 - 191
  • [7] Passivity analysis of coupled inertial neural networks with time-varying delays and impulsive effects
    Xiao-shuai Ding
    Jin-de Cao
    Fuad E Alsaadi
    Pramana, 2018, 91
  • [8] Passivity-based Bipartite Synchronization of Coupled Delayed Inertial Neural Networks via Non-reduced Order Method
    Zhong, Xinyu
    Ren, Jie
    Gao, Yanbo
    NEURAL PROCESSING LETTERS, 2022, 54 (06) : 4869 - 4892
  • [9] Passivity-based Bipartite Synchronization of Coupled Delayed Inertial Neural Networks via Non-reduced Order Method
    Xinyu Zhong
    Jie Ren
    Yanbo Gao
    Neural Processing Letters, 2022, 54 : 4869 - 4892
  • [10] Dissipativity and passivity analysis of Markovian jump impulsive neural networks with time delays
    Nagamani, G.
    Radhika, T.
    Gopalakrishnan, P.
    INTERNATIONAL JOURNAL OF COMPUTER MATHEMATICS, 2017, 94 (07) : 1479 - 1500