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Lung Model Parameter Estimation by Unscented Kalman Filter

2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2007
Dynamic nonlinear models are the best choice to analyze respiratory systems and to describe system mechanics. In this work, Unscented Kalman Filtering (UKF) was used to estimate the dynamic nonlinear model parameters of the lung model by using the measured airway flow, mask pressure and integrated lung volume.
Esra, Saatçi, Aydin, Akan
openaire   +2 more sources

Fractional Unscented Kalman Filter

Journal of Electronics & Information Technology, 2012
Yan Liu   +3 more
openaire   +1 more source

Unscented Schmidt–Kalman Filter Algorithm

Journal of Guidance, Control, and Dynamics, 2015
Jason Stauch, Moriba Jah
openaire   +1 more source

Solution Separation Unscented Kalman Filter

2019 22th International Conference on Information Fusion (FUSION), 2019
J. Dunik, O. Straka, E. Blasch
openaire   +1 more source

Unscented Kalman filter

2019
Shovan Bhaumik, Paresh Date
openaire   +1 more source

Soot reactivity analysis and implications on diesel filter regeneration

Progress in Energy and Combustion Science, 2020
Magín Lapuerta
exaly  

Electronic Devices Using Open Framework Materials

Chemical Reviews, 2020
Mark Allendorf   +2 more
exaly  

Overview of model-based online state-of-charge estimation using Kalman filter family for lithium-ion batteries

Renewable and Sustainable Energy Reviews, 2019
Prashant Shrivastava   +2 more
exaly  

Glomerular barrier behaves as an atomically precise bandpass filter in a sub-nanometre regime

Nature Nanotechnology, 2017
Bujie Du, Xingya Jiang, Anindita Das
exaly  

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