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IEEE Transactions on Automatic Control, ISSN 0018-9286, 06/2009, Volume 54, Issue 6, pp. 1254 - 1269
Journal Article
Tellus. Series A, Dynamic meteorology and oceanography, ISSN 1600-0870, 2016, Volume 59, Issue 2, pp. 210 - 224
Ensemble filter methods for combining model prior estimates with observations of a system to produce improved posterior estimates of the system state are nowbeing applied to a wide range of problems... 
MAXIMUM-LIKELIHOOD-ESTIMATION | METEOROLOGICAL OBSERVATIONS | OCEANOGRAPHY | SEQUENTIAL DATA ASSIMILATION | VARIATIONAL ASSIMILATION | IMPLEMENTATION | REPRESENTATION | PARAMETERS | KALMAN FILTER | MODEL-ERROR | FORECAST | METEOROLOGY & ATMOSPHERIC SCIENCES
Journal Article
Communications in Statistics - Theory and Methods, ISSN 0361-0926, 12/2019, Volume 48, Issue 24, pp. 6155 - 6168
In this paper new filters for removing unspecified form of heteroscedasticity are proposed... 
heteroscedasticity filters | simulation studies | US GDP | Kalman filter | Time series | Computer simulation | Parameter estimation | Stochastic processes
Journal Article
Proceedings of the National Academy of Sciences - PNAS, ISSN 0027-8424, 8/2015, Volume 112, Issue 34, pp. 10589 - 10594
The ensemble Kalman filter and ensemble square root filters are data assimilation methods used to combine high-dimensional, nonlinear dynamical models with observed data... 
Ensemble kalman filter | Filter divergence | Data assimilation | data assimilation | MULTIDISCIPLINARY SCIENCES | filter divergence | ensemble Kalman filter | Kalman filtering | Research | Mathematical research | Machine learning | Physical Sciences
Journal Article
Robotics and Autonomous Systems, ISSN 0921-8890, 07/2012, Volume 60, Issue 7, pp. 978 - 995
Journal Article
Electric power systems research, ISSN 0378-7796, 2019, Volume 172, pp. 183 - 192
Journal Article
Computational geosciences, ISSN 1573-1499, 2010, Volume 15, Issue 2, pp. 293 - 305
Journal Article
IEEE transactions on aerospace and electronic systems, ISSN 0018-9251, 2006, Volume 42, Issue 1, pp. 174 - 190
Journal Article
Water Resources Research, ISSN 0043-1397, 09/2008, Volume 44, Issue 9, pp. W09408 - n/a
Real‐time groundwater flow modeling with filter methods is interesting for dynamical groundwater flow systems, for which measurement data in real‐time are available... 
Hydrology | Uncertainty assessment | Groundwater hydrology | Model calibration | Stochastic hydrology | groundwater flow | stochastic hydrology | real‐time modeling | Ensemble Kalman Filter | Data assimilation | PRESSURE | ENVIRONMENTAL SCIENCES | MONTE-CARLO METHODS | HYDRAULIC-HEAD | WATER RESOURCES | DATA ASSIMILATION | STEADY-STATE | LIMNOLOGY | EFFICIENT
Journal Article
Quarterly journal of the Royal Meteorological Society, ISSN 1477-870X, 2019, Volume 145, Issue 723, pp. 2335 - 2365
Particle filters contain the promise of fully nonlinear data assimilation. They have been applied in numerous science areas, including the geosciences, but their application to high... 
localization | nonlinear data assimilation | hybrids | particle filters | proposal densities | ENSEMBLE KALMAN FILTER | DATA ASSIMILATION | DIFFUSION | METEOROLOGY & ATMOSPHERIC SCIENCES | Hybrids | Filters | Methodology | Weather forecasting | Transportation | Data collection | Earth science | Kalman filters | Localization | Data assimilation | Review
Journal Article
Automatica (Oxford), ISSN 0005-1098, 2017, Volume 76, pp. 70 - 77
Traditional Kalman filter (KF) is derived under the well-known minimum mean square error (MMSE... 
Fixed-point algorithm | Kalman filter | Maximum correntropy criterion (MCC) | SYSTEMS | H-INFINITY | AUTOMATION & CONTROL SYSTEMS | ENGINEERING, ELECTRICAL & ELECTRONIC | Algorithms | Electrical engineering
Journal Article
IEEE Transactions on Automatic Control, ISSN 0018-9286, 08/2002, Volume 47, Issue 8, pp. 1406 - 1409
Journal Article
International journal of robust and nonlinear control, ISSN 1049-8923, 2018, Volume 28, Issue 5, pp. 1852 - 1870
.... The novel design presented here consists of an observation filter–based fault detection and identification system integrated with a nonlinear model predictive controller... 
model predictive control | fault‐tolerant control | nonlinear control | observation filters | fault detection and identification | fault-tolerant control | Control systems | Analysis | Investigations | Controllers | Fault tolerance | Fault detection | Redundancy | Mathematical models | Kalman filters | Active control | Nonlinear control | Predictive control | Mathematics - Optimization and Control
Journal Article
IEEE Transactions on Signal Processing, ISSN 1053-587X, 07/2005, Volume 53, Issue 7, pp. 2279 - 2289
Journal Article