非线性均值场后向随机系统合作微分博弈中的帕累托最优性

IF 1.6 4区计算机科学 Q3 AUTOMATION & CONTROL SYSTEMS

International Journal of Control Pub Date : 2024-08-27 DOI:10.1080/00207179.2024.2395324

Guangchen Wang, Yu Wang

引用次数: 0

摘要

本文关注的是在非线性均值场反向随机驱动的合作博弈中存在帕累托最优策略的必要条件和充分条件。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Pareto optimality in cooperative differential game of nonlinear mean-field backward stochastic system

This paper is concerned with a necessary condition and a sufficient condition for the existence of Pareto optimal strategy in a cooperative game driven by a nonlinear mean-field backward stochastic...

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来源期刊

International Journal of Control 工程技术-自动化与控制系统

CiteScore

5.00

自引率

9.50%

发文量

197

审稿时长

5.3 months

期刊介绍： The International Journal of Control publishes top quality, peer reviewed papers in all areas, both established and emerging, of control theory and its applications. Readership: Development engineers and research workers in industrial automatic control. Research workers and students in automatic control and systems science in universities. Teachers of advanced automatic control in universities. Applied mathematicians and physicists working in automatic control and systems analysis. Development and research workers in fields where automatic control is widely applied: process industries, energy utility industries and advanced manufacturing, embedded systems and robotics.