A receding horizon control of a cooperative multi target tracking system

Ehsan Moradi Pari, M. Haeri
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Abstract

In this paper the problem of cooperative tracking of multiple targets for multi-agent systems is investigated. Defining problem of target tracking as gathering maximum rewards associated with the targets, an optimization-based algorithm is presented. A cooperative receding horizon controller for reaching moving targets is proposed. Agents are controlled by adjusting their headings toward the moving targets. A notable advantage of the proposed approach is the estimations of target's motion and planning the agent's heading based on them. Simulation results are provided to verify the efficiency of the proposed method.
协同多目标跟踪系统的后退地平线控制
研究了多智能体系统的多目标协同跟踪问题。将目标跟踪问题定义为收集与目标相关的最大奖励,提出了一种基于优化算法的目标跟踪问题。提出了一种用于到达运动目标的协同后退地平线控制器。通过调整它们朝向移动目标的方向来控制代理。该方法的一个显著优点是对目标的运动进行估计,并在此基础上规划agent的航向。仿真结果验证了该方法的有效性。
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