2023
DOI: 10.3390/math11020462
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The Hamilton–Jacobi–Bellman Equation for Differential Games with Composite Distribution of Random Time Horizon

Abstract: A differential game with random duration is considered. The terminal time of the game is a random variable settled using a composite distribution function. Such a scenario occurs when the operating mode of the system changes over time at the appropriate switching points. On each interval between switchings, the distribution of the terminal time is characterized by its own distribution function. A method for solving such games using dynamic programming is proposed. An example of a non-renewable resource extract… Show more

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Cited by 2 publications
(2 citation statements)
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References 15 publications
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“…The duration of the game is a random variable with composite distribution function [23]. Thus, the cumulative distribution function, F(t), with different shifted exponential distributions is denoted as…”
Section: Cooperative Game With Different Shifted Exponential Distribu...mentioning
confidence: 99%
“…The duration of the game is a random variable with composite distribution function [23]. Thus, the cumulative distribution function, F(t), with different shifted exponential distributions is denoted as…”
Section: Cooperative Game With Different Shifted Exponential Distribu...mentioning
confidence: 99%
“…In these works, the solutions were found in the class of open-loop strategies using the maximum Pontryagin principle. In (Balas and Tur, 2023), the cooperative games with a composite distribution function for the terminal time were studied using the methods of dynamic programming.…”
Section: Introductionmentioning
confidence: 99%