Reducing computational load in Moving-Horizon Observers using partial explicit map inversion

O. Omar, M. Alamir
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引用次数: 3

Abstract

This paper proposes a novel approach that may help reducing the computational burden when using the Nonlinear Moving-Horizon Observer/ Estimator (MHE) technique. This technique is often used to reconstruct unmeasured quantities of a dynamic system. The latter may include both the state and the vector of parameters that are involved in the system model. The proposed approach is based on the use of partial explicit inversion maps that express a part of the problem unknowns as a function of the remaining ones. The Moving-Horizon Estimators can therefore concentrate on the latter reduced dimensional unknown vector. The paper shows how explicit inversion maps can be derived based on a recently developed graphical-signature-based technique. Two illustrative examples are proposed to show the efficiency of the proposed solution.
利用局部显式地图反演减少移动视界观测的计算量
本文提出了一种新的方法,可以帮助减少使用非线性移动视界观测器/估计器(MHE)技术时的计算量。该技术常用于重建动态系统的未测量量。后者可能包括系统模型中涉及的状态和参数向量。所提出的方法是基于部分显式反演映射的使用,该映射将未知问题的一部分表示为剩余问题的函数。因此,移动视界估计器可以集中于后一种降维未知向量。本文展示了如何基于最近开发的基于图形签名的技术推导显式反演图。通过两个实例说明了该方法的有效性。
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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