scholarly journals $\mathbb{L}_{p}$ adaptive estimation of an anisotropic density under independence hypothesis

2015 ◽  
Vol 9 (1) ◽  
pp. 106-134 ◽  
Author(s):  
Gilles Rebelles
Keyword(s):  
Adaptive Estimation ◽  
Independence Hypothesis

A reliable adaptive estimation method for the installation error of optical angular encoder in outfield tests

Measurement ◽  
2021 ◽  
Vol 174 ◽  
pp. 109035
Author(s):  
Xuxing Zhao ◽  
Renjian Feng ◽  
Yinfeng Wu ◽  
Ning Yu ◽  
Xiaofeng Meng ◽  
...  
Keyword(s):  
Adaptive Estimation ◽  
Estimation Method

scholarly journals Adaptive Stochastic Filtration Based on the Estimation of the Covariance Matrix of Measurement Noises Using Irregular Accurate Observations

Inventions ◽  
2021 ◽  
Vol 6 (1) ◽  
pp. 10
Author(s):  
Sergey Sokolov ◽  
Arthur Novikov ◽  
Marianna Polyakova
Keyword(s):  
Covariance Matrix ◽  
Adaptive Estimation ◽  
Observation System ◽  
Mobile Object ◽  
New Approach ◽  
Measurement Systems ◽  
System Parameters ◽  
Traditional Scheme ◽  
Adaptive Filtration ◽  
Measurement Noises

In measurement systems operating under various disturbances the probabilistic characteristics of measurement noises are usually known approximately. To improve the observation accuracy, a new approach to the Kalman’s filter adaptation is proposed. In this approach, the Covariance Matrix of Measurement Noises (CMMN) is estimated by accurate measurements detected irregularly by the mobile object observation system (from radiofrequency identifiers, etalon reference, fixed points etc.). The problem of adaptive estimation of the observer’s noises covariance matrix in the Kalman filter is solved analytically for two cases: mutual noises correlation, and its absence. The numerical example for adaptive filtration of complexing navigation system parameters of a mobile object using irregular accurate measurements is given to illustrate the effectiveness of the proposed algorithm. Coordinate estimating errors have changed in comparison with the traditional scheme from 100 m to 2 m in latitude, and from 200 m to 1.5 m in longitude.

scholarly journals Multi-agents adaptive estimation and coverage control using Gaussian regression

2015 ◽  
Author(s):  
Andrea Carron ◽  
Marco Todescato ◽  
Ruggero Carli ◽  
Luca Schenato ◽  
Gianluigi Pillonetto
Keyword(s):  
Adaptive Estimation ◽  
Coverage Control ◽  
Gaussian Regression ◽  
Multi Agents
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