2020
DOI: 10.3390/math8122185
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A Differential Game with Random Time Horizon and Discontinuous Distribution

Abstract: One class of differential games with random duration is considered. It is assumed that the duration of the game is a random variable with values from a given finite interval. The cumulative distribution function (CDF) of this random variable is assumed to be discontinuous with two jumps on the interval. It follows that the player’s payoff takes the form of the sum of integrals with different but adjoint time intervals. In addition, the first interval corresponds to the zero probability of the game to be finish… Show more

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Cited by 5 publications
(4 citation statements)
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“…This Section will build upon the results presented in [17]. We will skip most results that were previously reported except for those that are necessary for the understanding of the current material.…”
Section: Description Of the Modelmentioning
confidence: 99%
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“…This Section will build upon the results presented in [17]. We will skip most results that were previously reported except for those that are necessary for the understanding of the current material.…”
Section: Description Of the Modelmentioning
confidence: 99%
“…The optimization problem can be tackled using state parametrization under four continuous intervals (see [17] for details):…”
Section: Optimal Solutionmentioning
confidence: 99%
See 1 more Smart Citation
“…In such problems, a composite distribution function for terminal time is used. By Zaremba et al in [6], it is assumed that the duration of the game is a random variable corresponding to the discontinuous cumulative distribution function. Gromov and Gromova [7,8] considered games with random horizon and composite distribution function for terminal time as hybrid differential games, since payoffs of players in such games take the form of the sums of integrals with different, but adjoint time intervals.…”
Section: Introductionmentioning
confidence: 99%