Stability in terms of two measures for population growth models with impulsive perturbations

2020 ◽  
Vol 13 (06) ◽  
pp. 2050051
Author(s):  
Zhinan Xia ◽  
Qianlian Wu ◽  
Dingjiang Wang

In this paper, we establish some criteria for the stability of trivial solution of population growth models with impulsive perturbations. The working tools are based on the theory of generalized ordinary differential equations. Here, the conditions concerning the functions are more general than the classical ones.

2013 ◽  
Vol 705 ◽  
pp. 499-503 ◽  
Author(s):  
Fei Yang ◽  
Liang Di Zhang ◽  
Jing Fang Shen

Malthusian population growth model is not applicable to the real world situation in most cases, since the simplifying assumptions are too ideal. In this article, we will generalize the classic population growth models by Stochastic differential equations, and get the extended models appealed to the real world better as well. When modeling the environmental perturbation by white noise process, we get an advanced model .


2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Malkhaz Ashordia ◽  
Inga Gabisonia ◽  
Mzia Talakhadze

AbstractEffective sufficient conditions are given for the unique solvability of the Cauchy problem for linear systems of generalized ordinary differential equations with singularities.


2015 ◽  
Vol 2015 ◽  
pp. 1-7
Author(s):  
Rui Zhang ◽  
Yinjing Guo ◽  
Xiangrong Wang ◽  
Xueqing Zhang

This paper extends the stochastic stability criteria of two measures to the mean stability and proves the stability criteria for a kind of stochastic Itô’s systems. Moreover, by applying optimal control approaches, the mean stability criteria in terms of two measures are also obtained for the stochastic systems with coefficient’s uncertainty.


2021 ◽  
pp. 145-171
Author(s):  
Everaldo M. Bonotto ◽  
Márcia Federson ◽  
Jaqueline G. Mesquita

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