Random Weighting Adaptive Estimation of Model Errors on Attitude Measurement for Rotary Steerable System
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3195519
Abstract: During drilling, a rotary steerable system (RSS) is affected by vibration, rotation, and other random noises. This paper presents a random weighting adaptive estimation of model errors on attitude measurement for RSS drilling tools. The… read more here.
Keywords: error; random weighting; model; attitude measurement ... See more keywords
A Robust Dynamic State Estimation Approach Against Model Errors Caused by Load Changes
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Power Systems"
DOI: 10.1109/tpwrs.2020.2994898
Abstract: Dynamic state estimation (DSE) plays an important role in power system security monitoring and online control. Many innovative robust-DSE algorithms have been proposed to deal with non-Gaussian noises, gross measurement errors, or model uncertainties and… read more here.
Keywords: dse; dynamic state; model errors; load ... See more keywords
Comparing Adaptive Prior and Posterior Inflation for Ensemble Filters Using an Atmospheric General Circulation Model
Sign Up to like & getrecommendations! Published in 2019 at "Monthly Weather Review"
DOI: 10.1175/mwr-d-18-0389.1
Abstract: Sampling errors and model errors are major drawbacks from which ensemble Kalman filters suffer. Sampling errors arise because of the use of a limited ensemble size, while model errors are deficiencies in the dynamics and… read more here.
Keywords: prior posterior; model errors; adaptive prior; posterior inflation ... See more keywords
Robust direct position determination methods in the presence of array model errors
Sign Up to like & getrecommendations! Published in 2018 at "EURASIP Journal on Advances in Signal Processing"
DOI: 10.1186/s13634-018-0555-7
Abstract: Direct position determination (DPD) methods are known to have many advantages over the traditional two-step localization method, especially for low signal-to-noise ratios (SNR) and/or short data records. However, similar to conventional direction-of-arrival (DOA) estimation methods,… read more here.
Keywords: model errors; direct position; position; array model ... See more keywords
Simulating model uncertainty of subgrid-scale processes by sampling model errors at convective scales
Sign Up to like & getrecommendations! Published in 2019 at "Geoscientific Model Development"
DOI: 10.5194/npg-2019-26
Abstract: Abstract. Ideally, perturbation schemes in ensemble forecasts should be based on the statistical properties of the model errors. Often, however, the statistical properties of these model errors are unknown. In practice, the perturbations are pragmatically… read more here.
Keywords: model errors; deep convection; sampling model; model ... See more keywords