Results 11 to 20 of about 1,473,129 (216)
Robust adaptive estimators for nonlinear systems [PDF]
, 2013 This paper is concerned with the development of new adaptive nonlinear estimators which incorporate adaptive estimation techniques for system noise statistics with the robust technique.
R. Katebi +3 more
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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 ...
Villanova, Ramon +2 more
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Process fault prognosis using a fuzzy-adaptive unscented Kalman predictor [PDF]
, 2011 By monitoring the future process status via information prediction, process fault prognosis is able to give an early alarm and therefore prevent faults, when the faults are still in their early stages.
Chen, Sheng, Tian, Xuemin, Cao, Yuping
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Adaptive filtering applications to satellite navigation [PDF]
, 2010 PhDDifferential Global Navigation Satellite Systems employ the extended Kalman filter to estimate the reference position error. High accuracy integrated navigation systems have the ability to mix traditional inertial sensor outputs with navigation ...
Zhahir, Md Amzari
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Application of fractional sensor fusion algorithms for inertial mems sensing
Mathematical Modelling and Analysis, 2009 The work presents an extension of the conventional Kalman filtering concept for systems of fractional order (FOS). Modifications are introduced using the Grünwald‐Letnikov (GL) definition of the fractional derivative (FD) and corresponding truncation of ...
Michailas Romanovas +3 more
doaj +1 more source
A novel variational Bayesian adaptive Kalman filter with mismatched process noise covariance matrix
IET Radar, Sonar & Navigation, 2023 This paper proposes a novel variational Bayesian (VB) adaptive Kalman filter with mismatched process noise covariance matrix (PNCM). Firstly, this paper explains the reason why the predicted error covariance matrix (PECM) is chosen for variational ...
Xinrui Liu +3 more
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IET Control Theory & Applications, 2023 Aiming to reduce the impact that the measurement uncertainty of nonlinear system brings to filtering accuracy, a novel sparse grid quadrature filter (SGQF) algorithm based on the double‐state chi‐square test is proposed.
Yifei WU, Yinrui Ma, Ye Jiang
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Observations on adaptive vector filters for noise reduction in color images [PDF]
, 2004 In a series of papers, Plataniotis et al. proposed a number of filters for noise reduction in color images where the noise type is unknown. In this letter, those filters with a unified notation are summarized, and it is shown that they are essentially ...
Cree, Michael J.
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INS/GPS Sensor Fusion based on Adaptive Fuzzy EKF with Sensitivity to Disturbances
IET Radar, Sonar & Navigation, 2021 The estimation accuracy of the inertial navigation system integrated with the global positioning system (GPS) through multiple kinds of Kalman filters (KFs) has been widely considered. Since the classical KFs could not overcome environmental disturbances
Danial Sabzevari, Abbas Chatraei
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An adaptive hybrid filter for practical WiFi-based positioning systems
ICT Express, 2015 This paper proposes an adaptive hybrid filter for WiFi-based indoor positioning systems. The hybrid filter adopts the notion of particle filters within the prediction framework of the basic Kalman filter.
Namjun Park, Sukhoon Jung, Dongsoo Han
doaj +1 more source