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具有不确定运动学的多机器人多边远程协调控制

Multilateral Telecoordinated Control of Multiple Robots With Uncertain Kinematics.

作者信息

Zhai Di-Hua, Xia Yuanqing

出版信息

IEEE Trans Neural Netw Learn Syst. 2018 Jul;29(7):2808-2822. doi: 10.1109/TNNLS.2017.2705115. Epub 2017 Jun 6.

Abstract

This paper addresses the telecoordinated control of multiple robots in the simultaneous presence of asymmetric time-varying delays, nonpassive external forces, and uncertain kinematics/dynamics. To achieve the control objective, a neuroadaptive controller with utilizing prescribed performance control and switching control technique is developed, where the basic idea is to employ the concept of motion synchronization in each pair of master-slave robots and among all slave robots. By using the multiple Lyapunov-Krasovskii functionals method, the state-independent input-to-output practical stability of the closed-loop system is established. Compared with the previous approaches, the new design is straightforward and easier to implement and is applicable to a wider area. Simulation results on three pairs of three degrees-of-freedom robots confirm the theoretical findings.

摘要

本文研究了在同时存在非对称时变延迟、非被动外力以及不确定运动学/动力学的情况下,多机器人的远程协同控制问题。为实现控制目标,开发了一种利用规定性能控制和切换控制技术的神经自适应控制器,其基本思想是在每对主从机器人之间以及所有从机器人之间采用运动同步的概念。通过使用多重Lyapunov-Krasovskii泛函方法,建立了闭环系统与状态无关的输入-输出实际稳定性。与先前的方法相比,新设计简单且易于实现,并且适用于更广泛的领域。三对三自由度机器人的仿真结果证实了理论结果。

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