多智能体联合定位与控制−从利他行为角度分析

Joint Relative Localization and Control of Multi-agent System: From the Perspective of Altruism Behavior

  • 摘要: 本文从生物利他主义的角度研究了在 GPS 拒止环境下的多智能体系统联合相对定位与编队控制问题。首先,受生物利他行为启发,设计了一种利他决策机制,用于评估智能体何时执行利他行为以增强智能体间的可观测性。其次,提出了一种基于参数估计的在线自适应相对位置估计器,它放宽了诸如最小二乘估计等经典方法所要求的持续激励条件。然后,利用哈密尔顿规则,证明了利他行为有助于多智能体系统实现联合定位与控制,并通过多智能体编队控制来说明这一方法。最后,通过数值模拟验证了所提方法的有效性。

     

    Abstract: We study the joint relative localization and formation control problem of multi-agent systems in a GPS-denied environment from the perspective of biological altruism. First, inspired by biological altruism behavior, we design an altruistic decision-making mechanism to determine when agents should perform altruistic behaviors to enhance inter-agent observability. Then, we develop a parameter-estimation-based online adaptive relative position estimator, which relaxes the persistent excitation conditions imposed by classical approaches such as least-squares estimators. Based on Hamilton rule, we prove that altruistic behaviors contribute to the joint localization and control, and we demonstrate the proposed scheme through multi-agent formation control. Finally, numerical simulations are provided to validate the effectiveness of the proposed methods.

     

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