Nash Equilibrium Seeking for Discrete-Time Multi-Agent Game with Disturbance

Zhao Liran; Yuan Yuan

doi:10.1016/j.ifacol.2021.04.194

Nash Equilibrium Seeking for Discrete-Time Multi-Agent Game with Disturbance

Zhao Liran, Yuan Yuan

航天学院

Northwestern Polytechnical University Xian

科研成果: 期刊稿件 › 会议文章 › 同行评审

摘要

In this paper, for the discrete-time multi-agent game with unknown disturbance, an anti-interference Nash Equilibrium seeking strategy is designed. A game strategy based on discrete disturbance observer is proposed to estimate and compensate for unknown disturbances and optimize each agent's own cost function. Eliminate the effects of disturbances and bring the system to the Nash Equilibrium. Finally, a numerical example is given to verify the effectiveness of the proposed anti-interference game strategy.

源语言	英语
页（从-至）	426-430
页数	5
期刊	IFAC-PapersOnLine
卷	53
期	5
DOI	https://doi.org/10.1016/j.ifacol.2021.04.194
出版状态	已出版 - 2020
活动	3rd IFAC Workshop on Cyber-Physical and Human Systems, CPHS 2020 - Beijing, 中国期限: 3 12月 2020 → 5 12月 2020

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10.1016/j.ifacol.2021.04.194

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abstract = "In this paper, for the discrete-time multi-agent game with unknown disturbance, an anti-interference Nash Equilibrium seeking strategy is designed. A game strategy based on discrete disturbance observer is proposed to estimate and compensate for unknown disturbances and optimize each agent's own cost function. Eliminate the effects of disturbances and bring the system to the Nash Equilibrium. Finally, a numerical example is given to verify the effectiveness of the proposed anti-interference game strategy.",

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AB - In this paper, for the discrete-time multi-agent game with unknown disturbance, an anti-interference Nash Equilibrium seeking strategy is designed. A game strategy based on discrete disturbance observer is proposed to estimate and compensate for unknown disturbances and optimize each agent's own cost function. Eliminate the effects of disturbances and bring the system to the Nash Equilibrium. Finally, a numerical example is given to verify the effectiveness of the proposed anti-interference game strategy.

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KW - disturbance observer

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KW - unknown disturbances

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Nash Equilibrium Seeking for Discrete-Time Multi-Agent Game with Disturbance

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