Output regulation of Euler-Lagrange systems based on error and velocity feedback

Haiwen Wu, Dabo Xu, B. Jayawardhana
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引用次数: 6

Abstract

This paper considers robust output regulation of uncertain Euler-Lagrange (EL) systems by error (or relative position) and velocity feedback. We shall develop an adaptive internal model approach for the problem. Particularly, the proposed control law does not require apriori knowledge of reference signal and its derivatives, which are commonly assumed in literature. It enables a self-learning mechanism of the closed-loop EL systems where the adaptive internal model-based controller is able to learn the desired trajectories and adapt itself to the uncertain plant parameters. We also present a numerical example to illustrate the proposed result.
基于误差和速度反馈的欧拉-拉格朗日系统输出调节
本文研究了误差(或相对位置)反馈和速度反馈对不确定欧拉-拉格朗日系统的鲁棒输出调节。我们将为这个问题开发一种自适应的内部模型方法。特别是,所提出的控制律不需要参考信号及其导数的先验知识,这在文献中通常是假设的。它实现了闭环电动力学系统的自学习机制,其中基于自适应内部模型的控制器能够学习所需的轨迹并适应不确定的对象参数。我们还给出了一个数值例子来说明所提出的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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