Results 21 to 30 of about 4,548 (274)
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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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
doaj +1 more source
An optimization approach to adaptive Kalman filtering
Automatica, 2009 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Maja Karasalo, Xiaoming Hu 0001
openaire +4 more sources
Adaptive fractional-order Kalman filters for continuous-time nonlinear fractional-order systems with unknown parameters and fractional-orders [PDF]
, 2021 In this paper, two types of adaptive Kalman filters are proposed by using the Grünwald-Letnikov (G-L) difference method to estimate the state information of continuous-time nonlinear fractional-order systems with unknown parameters and fractional-orders.
Huang, Xiaomin +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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Mobility Tracking in Cellular Networks Using Particle Filtering. [PDF]
, 2007 Mobility tracking based on data from wireless cellular networks is a key challenge that has been recently investigated both from a theoretical and practical point of view.
Mihaylova, L +14 more
core +1 more source
Friction coefficient estimation using an unscented Kalman filter [PDF]
, 2014 The friction coefficient between a railway wheel and rail surface is a crucial factor in maintaining high acceleration and braking performance of railway vehicles; therefore, monitoring this friction coefficient is important.
Liang, Bo, Zhao, Yunshi, Iwnicki, Simon
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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
doaj +1 more source
A modified adaptive kalman filter for fiber optic gyroscope [PDF]
, 2014 In this article, an adaptive Kalman filter was designed in order to filter angle random walk (ARW) and rate random walk (RRW) noises observed in the output of the fiber optic gyroscope (FOG).
Senyurek, Volkan Y. +2 more
core +5 more sources
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