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Motion control of mobile under-actuated manipulators by implicit function using support vector machines

机译:支持向量机通过隐式函数控制移动式欠驱动机械臂的运动

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摘要

In this study, the authors propose implicit control using least square support vector machines (LS-SVMs) approximation for the motion control of wheeled under-actuated manipulators. For approximating the multiinput and multi-output non-linear system, an LS-SVM matrix operator is proposed. Further, by using implicit function with SVMs, a control is constructed to obtain motion tracking of wheeled under-actuated manipulators. The relative degree of the regulated output is assumed to be known enabling the system feedback linearisable. It is shown that the tracking error can be controlled in a small neighbourhood of zero through Lyapunov's direct method. The methodology is applicable to minimum phase observable and stabilisable systems of unknown but finite dimension, as long as the relative degree is known. The effectiveness of the proposed control method is substantiated by the simulation results.
机译:在这项研究中,作者提出了使用最小二乘支持向量机(LS-SVM)近似进行轮式欠驱动机械手运动控制的隐式控制。为了逼近多输入多输出非线性系统,提出了一种LS-SVM矩阵算子。此外,通过将隐函数与SVM配合使用,可以构造一个控件来获得轮式欠驱动机械手的运动跟踪。假定调节输出的相对程度是已知的,从而使系统反馈线性化。结果表明,通过李雅普诺夫直接法可以将跟踪误差控制在零附近。该方法适用于未知但尺寸有限的最小相位可观测和可稳定系统,只要已知相对程度即可。仿真结果证明了所提出控制方法的有效性。

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