一类持续更新微分对策的随机信息视界

IF 0.3 Q4 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
A. Tur, O. Petrosian
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引用次数: 0

摘要

本文研究了一类具有随机信息视界的连续更新微分对策。假设在每个时刻,玩家都有关于游戏的信息(运动方程和收益函数),时间间隔为theta,随着时间的推移,关于游戏的信息也在更新。我们第一次考虑这类游戏是在2019年。这里我们另外假设是一个随机变量。本文的主题是基于Hamilton-Jacobi-Bellman方程的纳什均衡解概念的定义和求解技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Random information horizon for a class of differential games with continuous updating
In the paper we consider a class of the differential games with continuous updating with random information horizon. It is assumed that at each time instant, players have information about the game (motion equations and payoff functions) for a time interval with the length theta and as the time evolves information about the game updates. We first considered this type of games in 2019. Here we additionally assume that theta is a random variable. The subject of the current paper is definition of Nash equilibrium based solution concept and solution technique based on Hamilton—Jacobi—Bellman equations.
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来源期刊
CiteScore
1.30
自引率
50.00%
发文量
10
期刊介绍: The journal is the prime outlet for the findings of scientists from the Faculty of applied mathematics and control processes of St. Petersburg State University. It publishes original contributions in all areas of applied mathematics, computer science and control. Vestnik St. Petersburg University: Applied Mathematics. Computer Science. Control Processes features articles that cover the major areas of applied mathematics, computer science and control.
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