多体资产保护博弈中合作主体的最优分配
Optimal assignment of collaborating agents in multi-body asset-guarding games
摘要：
我们研究了导弹防御中的多体资产保卫博弈，其中拦截导弹团队合作保卫非机动资产免受一组威胁导弹的攻击。我们分两步解决这个问题。我们首先制定了一个分配问题，我们最佳分配的合作拦截器的子集，每个威胁，使所有的威胁被拦截尽可能远离资产。我们假设每个拦截器由一个线性二次动态博弈的协同制导律控制。我们的研究结果包括一个6自由度模拟5拦截与3威胁导弹的参与，每个代理人被建模为一个导弹机身控制的自动驾驶仪。尽管在我们的协同制导律中假设了线性动力学和仿真环境中的未建模动力学（例如，变化的密度和重力），我们表明，模拟的轨迹匹配以及与我们的方法预测。此外，我们表明，一个更敏捷的威胁，更大的速度和加速度，可以拦截劣质拦截器时，他们合作。我们相信本文介绍的概念可以应用于非对称导弹防御方案，包括防御先进的巡航导弹和高超音速飞行器。
英文摘要：
We study a multi-body asset-guarding game in missile defense where teams of interceptor missiles collaborate to defend a non-manuevering asset against a group of threat missiles. We approach the problem in two steps. We first formulate an assignment problem where we optimally assign subsets of collaborating interceptors to each threat so that all threats are intercepted as far away from the asset as possible. We assume that each interceptor is controlled by a collaborative guidance law derived from linear quadratic dynamic games. Our results include a 6-DOF simulation of a 5-interceptor versus 3-threat missile engagement where each agent is modeled as a missile airframe controlled by an autopilot. Despite the assumption of linear dynamics in our collaborative guidance law and the unmodeled dynamics in the simulation environment (e.g., varying density and gravity), we show that the simulated trajectories match well with those predicted by our approach. Furthermore, we show that a more agile threat, with greater speed and acceleration, can be intercepted by inferior interceptors when they collaborate. We believe the concepts introduced in this paper may be applied in asymmetric missile defense scenarios, including defense against advanced cruise missiles and hypersonic vehicles.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
