Periodic measures of impulsive stochastic Hopfield-type lattice systems

被引:8
|
作者
Lin, Yusen [1 ,2 ]
Li, Dingshi [1 ,2 ]
机构
[1] Southwest Jiaotong Univ, Sch Math, Chengdu, Peoples R China
[2] Natl Engn Lab Integrated Transportat Big Data App, Chengdu, Peoples R China
关键词
Periodic measure; impulsive; Hopfield-type lattice system; EXPONENTIAL STABILITY; NEURAL-NETWORKS; PROPAGATION; ATTRACTORS; DYNAMICS; BEHAVIOR; DRIVEN;
D O I
10.1080/07362994.2021.1970582
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
This paper is concerned with the periodic measures of the stochastic impulsive Hopfield-type lattice systems driven by nonlinear noise. By the properties of periodic Markov processes, the existence of periodic measures for the impulsive stochastic lattice systems is established. To this end, we employ the idea of uniform estimates on the tails of the solutions to show the tightness of a family of distributions of the solutions of the lattice systems.
引用
收藏
页码:914 / 930
页数:17
相关论文
共 50 条
  • [31] Stability of Hopfield-type neural networks (I)
    廖晓昕
    ScienceinChina,SerA., 1995, Ser.A.1995 (04) : 407 - 418
  • [32] Rigorous results for the Hopfield-type neural networks
    Litinskii, LB
    NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT, 2003, 502 (2-3): : 537 - 539
  • [33] Dynamics of Hopfield-Type Neural Networks with Modulo Periodic Unpredictable Synaptic Connections, Rates and Inputs
    Akhmet, Marat
    Tleubergenova, Madina
    Zhamanshin, Akylbek
    ENTROPY, 2022, 24 (11)
  • [34] Exponential stability of impulsive high-order Hopfield-type neural networks with delays and reaction-diffusion
    Li, Chaojie
    Li, Chuandong
    Huang, Tingwen
    INTERNATIONAL JOURNAL OF COMPUTER MATHEMATICS, 2011, 88 (15) : 3150 - 3162
  • [35] High-symmetry Hopfield-type neural networks
    L. B. Litinskii
    Theoretical and Mathematical Physics, 1999, 118 : 107 - 127
  • [36] STABILITY ANALYSIS OF HIGH-ORDER HOPFIELD-TYPE NEURAL NETWORKS BASED ON A NEW IMPULSIVE DIFFERENTIAL INEQUALITY
    Liu, Yang
    Yang, Rongjiang
    Lu, Jianquan
    Wu, Bo
    Cai, Xiushan
    INTERNATIONAL JOURNAL OF APPLIED MATHEMATICS AND COMPUTER SCIENCE, 2013, 23 (01) : 201 - 211
  • [37] STABILITY OF HOPFIELD-TYPE NEURAL NETWORKS .1.
    LIAO, XX
    SCIENCE IN CHINA SERIES A-MATHEMATICS PHYSICS ASTRONOMY & TECHNOLOGICAL SCIENCES, 1995, 38 (04): : 407 - 418
  • [38] A Hopfield-type Neural Network for Haplotype Assembly Problem
    Xu, Xinshun
    Ma, Jun
    Wang, Jiahai
    ICNC 2008: FOURTH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, VOL 5, PROCEEDINGS, 2008, : 8 - +
  • [39] Exponential stability of impulsive high-order Hopfield-type neural networks with time-varying delays
    Liu, XZ
    Teo, KL
    Xu, BJ
    IEEE TRANSACTIONS ON NEURAL NETWORKS, 2005, 16 (06): : 1329 - 1339
  • [40] Global exponential stability of Hopfield-type neural networks
    梁学斌
    吴立德
    Chinese Science Bulletin, 1996, (12) : 1046 - 1051