On Estimation of an Average Time Profit in Probabilistic Environmental and Economic Models

We consider environmental-economical models of optimal harvesting, given by the differential equations with impulse action, which depend on random parameters. We assume, that lengths of intervals θk between the moments of impulses τk are random variables and the sizes of impulse influence depend on...

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Main Authors: Lyudmila I. Rodina, Ilya I. Tyuteev
Format: Article
Language:English
Published: Yaroslavl State University 2018-06-01
Series:Моделирование и анализ информационных систем
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Online Access:https://www.mais-journal.ru/jour/article/view/685
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author Lyudmila I. Rodina
Ilya I. Tyuteev
author_facet Lyudmila I. Rodina
Ilya I. Tyuteev
author_sort Lyudmila I. Rodina
collection DOAJ
description We consider environmental-economical models of optimal harvesting, given by the differential equations with impulse action, which depend on random parameters. We assume, that lengths of intervals θk between the moments of impulses τk are random variables and the sizes of impulse influence depend on random parameters vk, k = 1, 2, . . . One example of such objects is an equation with impulses, modelling dynamics of the population subject to harvesting. In the absence of harvesting, the population development is described by the differential equation ˙x = g(x) and in time moments τk some random share of resource vk, k = 1, 2, . . . is taken from population. We can control gathering process so that to stop harvesting when its share will appear big enough to keep possible biggest the rest of a resource to increase the size of the following gathering. Let the equation ˙x = g(x) have an asymptotic stable solution ϕ(t) ≡ K and the interval (K1, K2) is the attraction area of the given solution (here 0 ≤ K1 < K < K2). We construct the control u = (u1, . . . , uk, . . .), limiting a share of harvesting resource at each moment of time τk, so that the quantity of the remained resource, since some moment τk0 , would be not less than the given value x ∈ (K1, K). For any x ∈ (K1, K) the estimations of average time profit, valid with probability one, are received. It is shown, that there is a unique x∗ ∈ (K1, K), at which the lower estimation reaches the greatest value. Thus, we described the way of population control at which the value of average time profit can be lower estimated with probability 1 by the greatest number whenever possible.
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spelling doaj-art-bb76f2c0bbd540e3b1a8bda80c48cd6c2025-08-04T14:06:38ZengYaroslavl State UniversityМоделирование и анализ информационных систем1818-10152313-54172018-06-0125325726710.18255/1818-1015-2018-3-257-267504On Estimation of an Average Time Profit in Probabilistic Environmental and Economic ModelsLyudmila I. Rodina0Ilya I. Tyuteev1Vladimir State University named after Alexander and Nikolay StoletovsUdmurt State UniversityWe consider environmental-economical models of optimal harvesting, given by the differential equations with impulse action, which depend on random parameters. We assume, that lengths of intervals θk between the moments of impulses τk are random variables and the sizes of impulse influence depend on random parameters vk, k = 1, 2, . . . One example of such objects is an equation with impulses, modelling dynamics of the population subject to harvesting. In the absence of harvesting, the population development is described by the differential equation ˙x = g(x) and in time moments τk some random share of resource vk, k = 1, 2, . . . is taken from population. We can control gathering process so that to stop harvesting when its share will appear big enough to keep possible biggest the rest of a resource to increase the size of the following gathering. Let the equation ˙x = g(x) have an asymptotic stable solution ϕ(t) ≡ K and the interval (K1, K2) is the attraction area of the given solution (here 0 ≤ K1 < K < K2). We construct the control u = (u1, . . . , uk, . . .), limiting a share of harvesting resource at each moment of time τk, so that the quantity of the remained resource, since some moment τk0 , would be not less than the given value x ∈ (K1, K). For any x ∈ (K1, K) the estimations of average time profit, valid with probability one, are received. It is shown, that there is a unique x∗ ∈ (K1, K), at which the lower estimation reaches the greatest value. Thus, we described the way of population control at which the value of average time profit can be lower estimated with probability 1 by the greatest number whenever possible.https://www.mais-journal.ru/jour/article/view/685model of a population subject to harvestingaverage time profitoptimal exploitation
spellingShingle Lyudmila I. Rodina
Ilya I. Tyuteev
On Estimation of an Average Time Profit in Probabilistic Environmental and Economic Models
Моделирование и анализ информационных систем
model of a population subject to harvesting
average time profit
optimal exploitation
title On Estimation of an Average Time Profit in Probabilistic Environmental and Economic Models
title_full On Estimation of an Average Time Profit in Probabilistic Environmental and Economic Models
title_fullStr On Estimation of an Average Time Profit in Probabilistic Environmental and Economic Models
title_full_unstemmed On Estimation of an Average Time Profit in Probabilistic Environmental and Economic Models
title_short On Estimation of an Average Time Profit in Probabilistic Environmental and Economic Models
title_sort on estimation of an average time profit in probabilistic environmental and economic models
topic model of a population subject to harvesting
average time profit
optimal exploitation
url https://www.mais-journal.ru/jour/article/view/685
work_keys_str_mv AT lyudmilairodina onestimationofanaveragetimeprofitinprobabilisticenvironmentalandeconomicmodels
AT ilyaityuteev onestimationofanaveragetimeprofitinprobabilisticenvironmentalandeconomicmodels