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arXiv 2605.08751math.OC
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关于一类欧拉-拉格朗日系统复合自适应连续有限时间控制

On Composite Adaptive Continuous Finite-Time Control of a class of Euler-Lagrange systems

University of Guadalajara(瓜达拉哈拉大学);Universidad Nacional Autónoma de México (UNAM)(墨西哥国立自治大学);Laboratoire des signaux et systèmes (L2S), CNRS(法国国家科学研究中心信号与系统实验室)

Emmanuel Cruz-Zavala, Jaime A. Moreno, Antonio Loría

AI总结:

本文提出了一种针对具有n自由度和不确定势能的欧拉-拉格朗日系统有限时间调节的控制方案,采用复合自适应控制方法,结合PD反馈项和有限时间参数估计律,扩展了有限时间自适应控制的最新进展。

摘要:

本文提出了一种针对具有n自由度和不确定势能的欧拉-拉格朗日系统有限时间调节的控制方案。所提出的控制器基于复合自适应控制方法,每个控制方案由两个主要部分组成:基于比例-微分(PD)的非线性反馈项和有限时间参数估计律。估计律依赖于动态回归扩展和混合(DREM)技术,可以使用Kreisselmeier或最小二乘动态回归扩展进行设计。这些结果扩展了最近在欧拉-拉格朗日系统有限时间自适应控制方面的最新进展。据作者所知,所提出的复合自适应控制方法不采用已知的Slotine和Li自适应控制结构,尚未被详细研究。所提出控制器的性质通过Lyapunov方法进行了严格分析。通过广泛的仿真研究对控制器的性能进行了彻底评估。

英文摘要:

In this paper, we propose several set-point control schemes for achieving finite-time regulation in a class of Euler--Lagrange systems with $n$ degrees of freedom and uncertain potential energy. The proposed controllers are based on composite adaptive control approaches. Each control scheme consists of two main components: a Proportional--Derivative (PD)-based nonlinear feedback term and a finite-time parameter estimation law. The estimation laws rely on the Dynamic Regressor Extension and Mixing (DREM) technique, which can be designed using either the Kreisselmeier or the least-squares dynamic regressor extensions. These results extend recent advances in finite-time adaptive control for Euler-Lagrange systems. To the best of the authors' knowledge, the composite adaptive control formulation proposed here, which does not employ well-known Slotine and Li adaptive control structure, has not been studied in detail yet. The properties of the proposed controllers are rigorously analyzed using Lyapunov methods. The performance of the controllers is thoroughly evaluated through extensive simulation studies.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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