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Tianjing Wang, Lanyong Zhang and Sheng Liu
Robust nonlinear filtering is an important method for tracking maneuvering targets in non-Gaussian noise environments. Although there are many robust filters for nonlinear systems, few of them have ideal performance for mixed Gaussian noise and non-Gauss...
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Peng Zhang, Zhengjie He, Chunyi Cui, Liang Ren and Ruqing Yao
The condition of an offshore wind turbine (OWT) should be monitored to assure its reliability against various environmental loads and affections. The modal parameters of the OWT can be used as an indicator of its condition. This paper combines the Kalman...
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Morgan Louédec and Luc Jaulin
The extended Kalman filter has been shown to be a precise method for nonlinear state estimation and is the facto standard in navigation systems. However, if the initial estimated state is far from the true one, the filter may diverge, mainly due to an in...
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Quentin Leboutet, Julien Roux, Alexandre Janot, Julio Rogelio Guadarrama-Olvera and Gordon Cheng
This work aims at reviewing, analyzing and comparing a range of state-of-the-art approaches to inertial parameter identification in the context of robotics. We introduce ?BIRDy (Benchmark for Identification of Robot Dynamics)?, an open-source Matlab tool...
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Filippo Landi, Francesca Marsili, Noemi Friedman and Pietro Croce
In civil and mechanical engineering, Bayesian inverse methods may serve to calibrate the uncertain input parameters of a structural model given the measurements of the outputs. Through such a Bayesian framework, a probabilistic description of parameters ...
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