具有过程噪声和未知目标状态的反向动态游戏:一种线性估计方法
IEEE transactions on cybernetics
|February 3, 2026
概括
本研究使用专家演示在动态游戏中确定未知的成本函数. 开发的方法准确地估计了参数,即使在噪声下,也可以更好地建模多剂相互作用.
科学领域:
- 控制理论 控制理论
- 游戏理论 游戏理论
- 机器人技术 机器人技术 机器人技术
背景情况:
- 建模多代理互动对于理解复杂系统至关重要.
- 从观察到的行为中识别潜在的成本函数是动态游戏的一个关键挑战.
研究的目的:
- 开发一种方法来识别离散时间,有限地平线线正方形 (LQ) 动态游戏中的未知成本函数.
- 解决未知状态和输入重量矩阵,过程噪声,观察噪声和玩家特定线性成本条款的场景.
主要方法:
- 为重量矩阵的可溶性建立了足够的条件.
- 证明了逆动态游戏问题的结构识别性,不受工艺噪声的影响.
- 制定成本函数参数估计作为基于纳什平衡条件的分布式同质线性估计问题.
主要成果:
- 建议的估计器在观察噪声下实现统计的一致性.
- 在多车辆弹联动游戏中证明了该方法的有效性.
- 在交互式方向盘控制场景中验证了该方法.
结论:
- 该研究为具有复杂成本函数的逆动态游戏提供了强大的框架.
- 开发的估计方法是有效和统计一致的,即使在噪声.
- 这些发现对各种应用中的多代理系统的建模和分析有影响.
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