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Discrete-Communication-Based Bipartite Tracking of Networked Robotic Systems via Hierarchical Hybrid Control

机译:基于离散的通信基于网络机器人系统的双链跟踪通过层次混合控制

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This paper investigates the bipartite tracking problem of networked robotic systems (NRSs) subject to input disturbances, discrete communications and signed directed graphs. Two new classes of hierarchical hybrid control algorithms (HHCAs), which involve both continuous and discontinuous signals in a uniform framework, are designed to solve the aforementioned problem in the model-independent control manner, i.e., without using the prior information of the system model. Besides, with the help of the Lyapunov statement and hybrid system theory, we establish several sufficient conditions for guaranteeing the convergence of the proposed hybrid algorithms. Finally, numerical examples are presented to illustrate the effectiveness of the proposed results.
机译:本文调查了网络机器人系统(NRSS)​​的二分跟踪问题,其受输入干扰,离散通信和签名的指导图。两个新的分层混合控制算法(HHCA)涉及在统一框架中的连续和不连续信号,旨在以模型无关的控制方式解决上述问题,即,不使用系统模型的先前信息。此外,在Lyapunov声明和混合系统理论的帮助之外,我们建立了几种充分的条件,以保证提出的混合算法的收敛性。最后,提出了数值例子以说明所提出的结果的有效性。

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