多智能体系统的完全分布式预设时间编队跟踪控制

Fully Distributed Prescribed-time Formation Tracking Control for Multi-agent Systems

  • 摘要: 针对存在不确定性和扰动的线性多智能体系统,本文致力于解决其完全分布式预设时间时变编队跟踪问题。首先,为每一个跟随者智能体设计了一个完全分布式预设时间观测器来估计领导者的状态,其优点在于不仅避免了在观测器的设计中使用诸如拉普拉斯矩阵特征值和智能体数量等全局信息,而且能够在预设时间准确估计到领导者的状态。其次,基于对领导者状态的估计,为每个跟随者设计一种完全分布式预设时间分段式控制器。该控制器包含鲁棒项、时变编队补偿项及时变扩展函数,能够有效抵消系统不确定性与外部扰动带来的负面影响,从而实现预设时间时变编队跟踪。最后,通过数值仿真验证了所构建控制器的有效性。

     

    Abstract: We are dedicated to addressing the fully distributed prescribed-time time-varying formation tracking problem for linear multi-agent systems subject to uncertainties and disturbances. First, a fully distributed prescribed-time observer is designed for each follower agent to estimate the state of the leader. Its advantage lies in not only avoiding the use of global information such as eigenvalues of the Laplacian matrix and the number of agents in the observer design, but also enabling precise estimation of the leader's state within a prescribed-time. Second, based on the estimation of the leader's state, a fully distributed prescribed-time piecewise controller is designed for each follower. This controller incorporates a robust term and a time-varying formation compensation term, as well as a time-varying scaling function, effectively counteracting the negative effects caused by system uncertainties and external disturbances, thereby achieving the prescribed-time time-varying formation tracking. Finally, the effectiveness of the proposed controller is verified through a numerical simulation.

     

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