Results 11 to 20 of about 64,413 (127)
Comparisons of nonlinear estimators for wastewater treatment plants [PDF]
, 2012 This paper deals with five existing nonlinear estimators (filters), which include Extended Kalman Filter (EKF), Extended H-infinity Filter (EHF), State Dependent Filter (SDF), State Dependent H-Infinity Filter (SDHF) and Unscented Kalman Filter (UKF ...
Abdul Wahab, Hamimi Fadziati Binti +2 more
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, 2000 As already pointed out in Hardle, Klinke, and Muller (2000, Chapter 10), state-space models are very useful and flexible in the sense that various recursive methods for time-dependent situations can be formulated as general solutions of filtering, smoothing and prediction problems in state-space models.
openaire +3 more sources
Sparsity-Based Kalman Filters for Data Assimilation [PDF]
, 2018 Several variations of the Kalman filter algorithm, such as the extended Kalman filter (EKF) and the unscented Kalman filter (UKF), are widely used in science and engineering applications.
Kang, Wei, Xu, Liang
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A New Approach to Adaptive Signal Processing
, 2015 A unified linear algebraic approach to adaptive signal processing (ASP) is presented. Starting from just Ax=b, key ASP algorithms are derived in a simple, systematic, and integrated manner without requiring any background knowledge to the field ...
Anjum, Muhammad Ali Raza
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Kalman-variant estimators for state of charge in lithium-sulfur batteries [PDF]
, 2017 Lithium-sulfur batteries are now commercially available, offering high specific energy density, low production costs and high safety. However, there is no commercially-available battery management system for them, and there are no published methods for ...
Auger, Daniel J. +4 more
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Ensemble Kalman methods for high-dimensional hierarchical dynamic space-time models
, 2018 We propose a new class of filtering and smoothing methods for inference in high-dimensional, nonlinear, non-Gaussian, spatio-temporal state-space models.
Katzfuss, Matthias +2 more
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Kalman Filtering with Unknown Noise Covariances [PDF]
, 2006 Since it is often difficult to identify the noise covariances for a Kalman filter, they are commonly considered design variables. If so, we can as well try to choose them so that the corresponding Kalman filter has some nice form.
Nilsson, Martin
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Generalized Nonlinear Complementary Attitude Filter
, 2011 This work describes a family of attitude estimators that are based on a generalization of Mahony's nonlinear complementary filter. This generalization reveals the close mathematical relationship between the nonlinear complementary filter and the more ...
Jensen, Kenneth
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A Kalman Filter Approach for Biomolecular Systems with Noise Covariance Updating
, 2018 An important part of system modeling is determining parameter values, particularly for biomolecular systems, where direct measurements of individual parameters are typically hard.
Chakrabarti, Kushal +3 more
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Wavelet Ensemble Kalman Filters
, 2011 We present a new type of the EnKF for data assimilation in spatial models that uses diagonal approximation of the state covariance in the wavelet space to achieve adaptive localization.
Beezley, Jonathan D. +2 more
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