Results 31 to 40 of about 2,942 (188)
Journal of Marine Science and Engineering, 2022 Robust nonlinear filtering is an important method for tracking maneuvering targets in non-Gaussian noise environments. Although there are many robust filters for nonlinear systems, few of them have ideal performance for mixed Gaussian noise and non ...
Tianjing Wang, Lanyong Zhang, Sheng Liu
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A modified bayesian filter for randomly delayed measurements [PDF]
, 2017 © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new ...
Bhoumik, S, Date, P, Singh, AK
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World Electric Vehicle Journal, 2019 Accurate and reliable estimation information of sideslip angle is very important for intelligent motion control and active safety control of an autonomous vehicle.
Te Chen +5 more
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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
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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
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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
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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
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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
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Gene regulatory network inference by point-based Gaussian approximation filters incorporating the prior information [PDF]
, 2010 Examinar a ampliação do uso de TICs por organizações sociais e governamentais na gestão da cidade é o objetivo do presente estudo. Nossa intenção é entender de que forma as tecnologias da informação e comunicação podem ser uma via alternativa que ...
Bin Jia, Xiaodong Wang
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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
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