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A NEW RECURSIVE FORMULATION FOR FAST ESTIMATION OF TIME-VARYING UNKNOWN INPUT. APPLICATION FOR ESTIMATING A PARTICLE ACCELERATION

机译:一种新的递归公式,用于快速估算时变未知输入。估算粒子加速度的应用

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This paper proposes an extension of the Recursive Input Estimation (RIE) for estimating time-varying unknown input. This extension is based on modifications of the Least Squares (LS) algorithm of the RIE, which increase its capability to track time varying unknown input. These modifications consist in inserting a forgetting factor into the LS algorithm and adding an integral effect. Moreover, alternative formulations are proposed, allowing the reduction of computation time in the case where the number of inputs to estimate is lower than the number of measurements. The different tools obtained are tested and compared on a three-dimensional tracking application. ;Unknown input estimation, Kalman filtering, Least squares, Recursive algorithm, Integral effect, Computation, Tracking
机译:本文提出了递归输入估计(RIE)的扩展,用于估计时变未知输入。此扩展基于RIE最小二乘(LS)算法的修改,该算法增加了其跟踪随时间变化的未知输入的能力。这些修改包括将遗忘因子插入LS算法并添加积分效应。此外,提出了替代的公式,从而在要估计的输入数量少于测量数量的情况下减少了计算时间。在三维跟踪应用程序上测试并比较了获得的不同工具。 ;未知输入估计,卡尔曼滤波,最小二乘,递归算法,积分效应,计算,跟踪

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    Institut de Recherche en Systemes Electroniques EMbarques (IRSEEM) - EA 4353 Technopole du Madrillet, avenue Galilee, BP 10024 76801 Saint-Etienne-du-Rouvray cedex, France;

    Institut de Recherche en Systemes Electroniques EMbarques (IRSEEM) - EA 4353 Technopole du Madrillet, avenue Galilee, BP 10024 76801 Saint-Etienne-du-Rouvray cedex, France;

    Institut de Recherche en Systemes Electroniques EMbarques (IRSEEM) - EA 4353 Technopole du Madrillet, avenue Galilee, BP 10024 76801 Saint-Etienne-du-Rouvray cedex, France;

    Centre de Recherche en Automatique de Nancy (CRAN) - UMR CNRS 7039 Institut National Polytechnique de Lorraine 2 avenue de la foret de Haye, 54516 Vandoeuvre-les-Nancy, France;

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