2019
DOI: 10.1155/2019/5342031
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Dynamics and Optimal Harvesting Control for a Stochastic One-Predator-Two-Prey Time Delay System with Jumps

Abstract: We consider a stochastic one-predator-two-prey harvesting model with time delays and Lévy jumps in this paper. Using the comparison theorem of stochastic differential equations and asymptotic approaches, sufficient conditions for persistence in mean and extinction of three species are derived. By analyzing the asymptotic invariant distribution, we study the variation of the persistent level of a population. Then we obtain the conditions of global attractivity and stability in distribution. Furthermore, making … Show more

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Cited by 24 publications
(16 citation statements)
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“…where (x * 1 , x * 2 , u * ) is the positive equilibrium point of the corresponding deterministic model (3).…”
Section: Asymptotic Propertymentioning
confidence: 99%
See 1 more Smart Citation
“…where (x * 1 , x * 2 , u * ) is the positive equilibrium point of the corresponding deterministic model (3).…”
Section: Asymptotic Propertymentioning
confidence: 99%
“…In nature, time delays exist in many ecosystems [1][2][3][4][5]. For example, maturity stage is a common phenomenon in biological population, and many diseases have a long incubation period.…”
Section: Introductionmentioning
confidence: 99%
“…Torres et al [28] used the sequentially semiseparable matrix to calculate the Jacobian matrix [29] and Hessian matrix [30], employing the Gauss-Newton method to optimize the output error of the global system. e effectiveness of the algorithm was verified by numerical examples.…”
Section: Introductionmentioning
confidence: 99%
“…Indeed, stochastic models could be more appropriate way of modeling in comparison with their deterministic counterparts, since they can provide some additional degree of realism. By introducing (stochastic) environmental noise, many investigators have studied stochastic epidemic models [14][15][16][17][18][19][20][21][22][23] and stochastic population models [24][25][26][27][28][29][30][31][32][33][34][35][36][37][38][39][40][41][42]. ey focus on the e ect of environmental uctuations on the dynamic behavior of these models.…”
Section: Introductionmentioning
confidence: 99%