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Model-free formation tracking control of networked robotic systems with input disturbances

机译:输入干扰的网络机器人系统无模型形成控制

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This paper studies the model-free formation tracking problem for networked robotic systems in the presence of bounded input disturbances. The interaction topology of the networked robotic system is assumed to contain a spanning tree. Based on distributed sliding-mode estimators aiming to estimate the information of the reference trajectory, we propose the model-free control law which can obtain the formation of the networked robotic system in the local coordinate system, and meanwhile the tracking of the geometric centre of the formation. The asymptotic stability and its sufficient condition on the control parameters are derived via the Lyapunov theory. Finally, the simulation results are provided to verify the effectiveness of the main results.
机译:本文研究了在存在有界输入干扰的情况下网络机器人系统的无模型形成问题。假设网络机器人系统的交互拓扑包含生成树。基于旨在估算参考轨迹信息的分布式滑动模式估计,我们提出了无模型控制法,其可以在本地坐标系中获得网络机器人系统的形成,同时对几何中心的跟踪它的成形。通过Lyapunov理论导出对照参数的渐近稳定性及其充分条件。最后,提供了仿真结果以验证主要结果的有效性。

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