Robust Incentive Stackelberg Games With a Large Population for Stochastic Mean-Field Systems-Reference-Cited by-同舟云学术

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Robust Incentive Stackelberg Games With a Large Population for Stochastic Mean-Field Systems

Published:2022 Issue: Volume:6 Page:1934-1939
ISSN:2475-1456
Container-title:IEEE Control Systems Letters
language:
Short-container-title:IEEE Control Syst. Lett.

Author:

Mukaidani Hiroaki^ORCID,Irie Shunpei,Xu Hua^ORCID,Zhuang Weihua^ORCID

Funder

JSPS KAKENHI

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Control and Optimization,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/7782633/9462165/09651526.pdf?arnumber=9651526

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Incentive Designs for Stackelberg Games with a Large Number of Followers and their Mean-Field Limits;Dynamic Games and Applications;2024-05-23

2. Credit rating- and credit score-based carbon emission quota trading model of city dwellers;Frontiers in Energy Research;2023-08-25

3. Sign‐indefinite static output feedback Nash strategy for mean‐field stochastic systems;Asian Journal of Control;2023-05-18

4. Incentive feedback Stackelberg strategy for the discrete-time stochastic systems;Journal of the Franklin Institute;2023-02

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