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Observer-based task-space consensus of networked robotic systems: A separation approach

机译:网络机器人系统基于观察者的任务空间共识:一种分离方法

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In this paper, we investigate the task-space consensus problem for multiple robotic systems with both the uncertain kinematics and dynamics in the case of existence of constant communication delays. We propose an observer-based adaptive control scheme to achieve the consensus objective without relying on the measurement of task-space velocities. The proposed new control scheme employs a new observer that does not rely on the joint velocity, and a new kinematic parameter adaptation law that is driven by both the observation and consensus errors, giving rise to the desirable separation property of the proposed control. By the Lyapunov-like and iBIBO-stability-based analyses, we demonstrate that the task-space positions of the robotic systems converge to the scaled weighted average of their initial values. The performance of the proposed observer-based adaptive scheme is shown by a numerical simulation.
机译:在本文中,我们研究了在存在恒定通信延迟的情况下具有不确定的运动学和动力学特性的多机器人系统的任务空间共识问题。我们提出了一种基于观察者的自适应控制方案,以实现共识目标,而不依赖于任务空间速度的测量。所提出的新控制方案采用了不依赖关节速度的新观察者,以及由观察误差和共识误差共同驱动的新运动学参数自适应律,从而产生了所提出控制的理想分离特性。通过基于Lyapunov的分析和基于iBIBO稳定性的分析,我们证明了机器人系统的任务空间位置收敛于其初始值的缩放加权平均值。数值仿真表明了所提出的基于观测器的自适应方案的性能。

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