FINITE-TIME STABILITY OF WOLBACHIA-DRIVEN MOSQUITOES BASED ON STOCHASTIC DIFFERENTIAL EQUATIONS WITH TIME-VARYING DELAY

被引:2
|
作者
Guo, Wenjuan [1 ]
Yu, Jianshe [1 ]
机构
[1] Guangzhou Univ, Guangzhou Ctr Appl Math, Guangzhou 510006, Peoples R China
基金
中国国家自然科学基金; 中国博士后科学基金;
关键词
Stochastic Differential Equations; Time-Varying Delay; Mosquito Populations; Wolbachia; Finite-Time Stability; Mosquito-Borne Diseases; DENGUE; DYNAMICS; POPULATIONS;
D O I
10.1142/S0218339023500389
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
It is well known that various environmental factors, such as temperature, rainfall and humidity, strongly influence the development and reproduction of mosquito populations and thus the transmission dynamics of mosquito-borne diseases. In this paper, a stochastic noise is introduced to describe the effects of environmental changes on mosquito population dynamics. Considering the waiting period of wild mosquitoes from mating to emergence, the finite-time stability of wild mosquitoes by releasing Wolbachia-infected mosquitoes was studied using a stochastic differential equation with time-varying delay. Finite-time stability describes the phenomenon that the bound of the state does not exceed a specified threshold at a fixed time interval. Sufficient conditions for the finite-time stability are obtained by employing the Lyapunov function and stochastic comparison theorem. Numerical simulations are also provided to illustrate our theoretical results.
引用
收藏
页码:1147 / 1160
页数:14
相关论文
共 50 条
  • [21] Finite-time Stability of Uncertain Neutral-type Neural Networks with Time-varying Delay
    Guo, Liang-liang
    Dong, Ya-li
    Wang, Wen-qin
    2017 2ND INTERNATIONAL CONFERENCE ON COMPUTATIONAL MODELING, SIMULATION AND APPLIED MATHEMATICS (CMSAM), 2017, : 518 - 523
  • [22] Finite-Time Stabilization for Static Neural Networks with Leakage Delay and Time-Varying Delay
    Xiaoyu Zhang
    Yuan Yuan
    Xiaodi Li
    Neural Processing Letters, 2020, 51 : 67 - 81
  • [23] Finite-time stability and stabilization for time-varying systems *
    He, Xinyi
    Li, Xiaodi
    Nieto, Juan J.
    CHAOS SOLITONS & FRACTALS, 2021, 148
  • [24] Finite-time stability and stabilisation of singular discrete-time linear positive systems with time-varying delay
    Dinh Cong Huong
    Nguyen Huu Sau
    INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2019, 50 (15) : 2824 - 2837
  • [25] Finite-Time Stabilization for Static Neural Networks with Leakage Delay and Time-Varying Delay
    Zhang, Xiaoyu
    Yuan, Yuan
    Li, Xiaodi
    NEURAL PROCESSING LETTERS, 2020, 51 (01) : 67 - 81
  • [26] Finite-time stability and optimal control of an impulsive stochastic reaction-diffusion vegetation-water system driven by Levy process with time-varying delay
    Xiong, Zixiao
    Li, Xining
    Ye, Ming
    Zhang, Qimin
    MATHEMATICAL BIOSCIENCES AND ENGINEERING, 2021, 18 (06) : 8462 - 8498
  • [27] FINITE-TIME STABILITY OF DISCRETE DESCRIPTOR SYSTEMS WITH TIME-VARYING DELAY AND NONLINEAR UNCERTAINTIES
    Jia, Yusheng
    Lin, Chong
    Zhang, Mingji
    JOURNAL OF APPLIED ANALYSIS AND COMPUTATION, 2024, 14 (05): : 2977 - 2992
  • [28] Some results on finite-time stability of stochastic fractional-order delay differential equations
    Luo, Danfeng
    Tian, Mengquan
    Zhu, Quanxin
    CHAOS SOLITONS & FRACTALS, 2022, 158
  • [29] New results on finite-time stability of fractional-order neural networks with time-varying delay
    Thanh, Nguyen T.
    Niamsup, P.
    Phat, Vu N.
    NEURAL COMPUTING & APPLICATIONS, 2021, 33 (24) : 17489 - 17496
  • [30] New results on finite-time stability of fractional-order neural networks with time-varying delay
    Nguyen T. Thanh
    P. Niamsup
    Vu N. Phat
    Neural Computing and Applications, 2021, 33 : 17489 - 17496