Results 31 to 40 of about 2,929 (197)
Moment Estimation Using a Marginalized Transform [PDF]
, 2012 We present a method for estimating mean and covariance of a transformed Gaussian random variable. The method is based on evaluations of the transforming function and resembles the unscented transform and Gauss-Hermite integration in that respect.
Sandblom, Fredrik, Svensson, Lennart
core +1 more source
Adaptive Cubature Kalman Filter Based on the Expectation-Maximization Algorithm
IEEE Access, 2019 A cubature Kalman filter is considered to be one of the most useful methods for nonlinear systems. However, when the statistical characteristics of noise are unknown, the estimation accuracy is degraded. Therefore, an adaptive square-root cubature Kalman
Weidong Zhou, Lu Liu
doaj +1 more source
Transformed cubature quadrature Kalman filter
IET Signal Processing, 2017 An orthogonal transformation is applied to the cubature quadrature (CQ) points which are used to approximate the intractable integrals appeared during the estimation of states of a non‐linear system. With the help of a theorem, it is shown that the transformed points reduce the higher order moments (HOM) appeared while approximating the mean and ...
Abhinoy Kumar Singh, Shovan Bhaumik
openaire +1 more source
A recursive update cubature Kalman filter [PDF]
Proceedings of the 2015 2nd International Workshop on Materials Engineering and Computer Sciences, 2015 This paper investigates the use of recursive update and proposes a recursive update cubature Kalman filter (RUCKF). Merit of recursive update is a better assimilation of measurement information and realization of nonlinear update on the state. The proposed algorithm is shown to achieve superior performance in terms of efficiency and accuracy when ...
Ning Li, Gang Wang, Yonggang Zhang
openaire +1 more source
Control Optimization of Stochastic Systems Based on Adaptive Correction CKF Algorithm
International Journal of Aerospace Engineering, 2020 Standard cubature Kalman filter (CKF) algorithm has some disadvantages in stochastic system control, such as low control accuracy and poor robustness.
FengJun Hu, Qian Zhang, Gang Wu
doaj +1 more source
Attitude heading reference algorithm based on transformed cubature Kalman filter
Measurement + Control, 2020 Stable and accurate attitude estimation is the key to the autonomous control of unmanned aerial vehicle. The Attitude Heading Reference System using micro-electro-mechanical system inertial measurement unit and magnetic sensor as measurement sensors is ...
Yong-jun Yu +2 more
doaj +1 more source
Robust Estimation in Continuous–Discrete Cubature Kalman Filters for Bearings-Only Tracking
Applied Sciences, 2022 The model of bearings-only tracking is generally described by discrete–discrete filtering systems. Discrete robust methods are also frequently used to address measurement uncertainty problems in bearings-only tracking.
Haoran Hu, Shuxin Chen, Hao Wu, Renke He
doaj +1 more source
On the vehicle sideslip angle estimation: a literature review of methods, models and innovations [PDF]
, 2018 Typical active safety systems controlling the dynamics of passenger cars rely on real-time monitoring of the vehicle sideslip angle (VSA), together with other signals like wheel angular velocities, steering angle, lateral acceleration, and the rate of ...
Bao +19 more
core +2 more sources
A Probabilistic Perspective on Gaussian Filtering and Smoothing
, 2010 We present a general probabilistic perspective on Gaussian filtering and smoothing. This allows us to show that common approaches to Gaussian filtering/smoothing can be distinguished solely by their methods of computing/approximating the means and ...
Deisenroth, MP, Ohlsson, H
core +1 more source
Sensorless control of PMSM using an adaptively tuned SCKF
The Journal of Engineering, 2019 This study reports the application of an adaptively tuned square-root Cubature Kalman filter (SCKF) for the speed and position estimation of a permanent magnet synchronous motor (PMSM) drive.
Gulur Raghavendra Gopinath +1 more
doaj +1 more source