Distributed Event-Triggered Consensus for Nonlinear Networked Robotic Systems over an Uncertain Network

Jiange Wang, Xiaolei Li
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Abstract

Since each robot communicates with each other though a wireless network with limited width and uncertainties, it is significant and necessary to propose a robust consensus control strategy which can also save bandwidth resources. In this paper, we concern on the event-triggered consensus control problem of networked robotic systems modeled by Euler-Lagrange systems over an uncertain network. The contributions of this paper are twofold: First, the uncertain directed network is considered which modeled by an uncertain part in edge weight. Several communication constraints can be covered by this configuration. Second, an event-triggered consensus protocol is proposed for the nonlinear robotic systems, which can greatly save bandwidth resources. Under the proposed control approach, Zeno behavior is proved to be avoided. Finally, some simulation results are presented to verify the effectiveness of the proposed control strategy.
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不确定网络上非线性网络机器人系统的分布式事件触发一致性
由于每个机器人之间的通信都是通过一个具有有限宽度和不确定性的无线网络进行的,因此提出一种鲁棒的共识控制策略是非常重要和必要的,同时又能节省带宽资源。本文研究了不确定网络上由欧拉-拉格朗日系统建模的网络化机器人系统的事件触发一致性控制问题。本文的贡献有两点:首先,考虑了不确定有向网络,该网络由边权的不确定部分建模。此配置可以涵盖多个通信约束。其次,针对非线性机器人系统提出了一种事件触发的共识协议,可以极大地节省带宽资源。在提出的控制方法下,可以避免芝诺行为。最后给出了仿真结果,验证了所提控制策略的有效性。
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