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Updated: May 31, 2025

The HoneyComb Paradigm for Research on Collective Human Behavior
Published on: January 19, 2019
分布纳什平衡寻求异质的二次非线性非合作游戏,具有通信延迟
Rui Yu1,2, Li Li3, Qianyao Wang3
1The Provincial Key Laboratory of Multimodal Perceiving and Intelligent Systems, Jiaxing University, Jiaxing, 314001, China. 2010464@tongji.edu.cn.
本研究涉及具有不确定的动态和通信延迟的非合作游戏,开发了一个分布式算法来找到纳什平衡 (NE). 该算法是有效的,尽管复杂的动态和延迟,通过模拟验证.
科学领域:
- 控制系统工程 控制系统工程
- 游戏理论 游戏理论
- 网络化系统 网络化系统
背景情况:
- 非合作游戏对于建模去中心化系统至关重要.
- 实际系统通常涉及具有不确定性,非线性动态和通信延迟的代理.
- 现有的游戏理论模型可能无法完全捕捉这些现实世界的复杂性.
研究的目的:
- 为了研究与通信延迟的重量平衡二图表上的非合作性游戏问题.
- 开发一种分布式算法,用于在具有不确定的异质二次非线性动态的系统中找到纳什平衡 (NE).
- 在不同的通信延迟条件下分析算法的有效性.
主要方法:
- 设计一个针对二次非线性动态和通信延迟的分布式算法.
- 使用Lyapunov函数进行稳定性分析.
- 使用线性矩阵不等式 (LMIs) 来证明算法收.
- 模拟研究以验证算法的性能.
主要成果:
- 一个新的分布式算法有效地寻求纳什平衡 (NE).
- 尽管存在不确定的第二阶非线性动态,但该算法仍表现出稳健性.
- 在处理缓慢变化的和快速变化的通信延迟方面已被证明是有效的.
- 模拟结果证实了算法的有效性和趋同.
结论:
- 开发的分布式算法为复杂的现实场景中的非合作游戏提供了可行的解决方案.
- 该方法有效地解决了非线性动态和通信延迟带来的挑战.
- 这项工作有助于推进分布式控制和游戏理论应用.
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