This paper develops a distributed approach for inverse optimal control (IOC) in multi-agent systems. Here each agent can only communicate with certain nearby neighbors and only accesses segments of system’s trajectory, which is not sufficient for the agent to solve the IOC problem alone. By introducing the concept of the data effectiveness and bridging the connection between each segment and its contribution to solving IOC, we formulate the IOC problem as a problem of achieving least-square solutions via a distributed algorithm. Simulations are provided to validate the proposed distributed IOC approach.

中文翻译：

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分布式逆最优控制

本文开发了一种分布式的多智能体系统逆最优控制（IOC）方法。在这里，每个代理只能与附近的某些邻居通信，并且只能访问系统轨迹的各个部分，这不足以使代理单独解决IOC问题。通过引入数据有效性的概念并架起每个网段之间的联系及其对解决IOC的贡献，我们将IOC问题公式化为通过分布式算法实现最小二乘解的问题。提供仿真以验证建议的分布式IOC方法。