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An Adaptive UKF Algorithm for Process Fault Prognostics

2009 Second International Conference on Intelligent Computation Technology and Automation, 2009
For standard unscented Kalman filters (UKF), the unknown covariance matrices of prior state estimate error, output prediction error and posterior state estimate error propagate recursively through fixed models, which does not consider the actual distribution information of errors.
Yuping Cao, Xuemin Tian
openaire   +1 more source

GPS/SINS Positioning Method Based on Robust UKF

2012 International Conference on Industrial Control and Electronics Engineering, 2012
As an improved Unscented Kalman Filtering (UKF) Algorithm, the robust UKF is proposed to solve the positioning accuracy problem of GPS/SINS integrated navigation system used in dynamic environment. The robust estimation theory is applied to the standard UKF algorithm to solve the estimation-error problem in the satellite integrated navigation system ...
Qiuting Wang, Duo Xiao
openaire   +1 more source

EKF and UKF based synchronization of hyperchaotic systems

2016 International Conference on Automatic Control and Dynamic Optimization Techniques (ICACDOT), 2016
Noise like yet deterministic behavior of chaotic systems has led the researchers to show a great interest in developing secure communication schemes based on chaotic systems. In the field of secure communication, hyperchotic systems are preferred to traditional chaotic systems because they have more complicated dynamical behavior.
Sharad Mathur, Bharat Bhushan Sharma
openaire   +1 more source

Maneuvering Target Tracking Based on ANFIS and UKF

2008 International Conference on Intelligent Computation Technology and Automation (ICICTA), 2008
A maneuvering target tracking algorithm is proposed to overcome the defects of poor filtering precision while using unscented Kalman filter (UKF). The method combines the merits of UKF and adaptive neuro-fuzzy inference system (ANFIS). ANFIS is used to adjust system noise covariance matrix in target tracking system. Fuzzy inference, neural networks and
Anfu Zhu   +4 more
openaire   +1 more source

UKF-SLAM Based Gravity Gradient Aided Navigation

2014
Considering the two characteristics: (1) simultaneous localization and mapping (SLAM) is a popular algorithm for autonomous underwater robot, but visual SLAM is significantly influenced by weak illumination; (2) geomagnetism-aided navigation and gravity-aided navigation are equally important methods in the field of robot navigation, but both are ...
Meng Wu, Ying Weng
openaire   +1 more source

Neural Network Training Based on UKF

2022
Ardashir Mohammadzadeh   +5 more
openaire   +1 more source

An adaptive robust UKF initial alignment algorithm

2022 4th International Conference on Data-driven Optimization of Complex Systems (DOCS), 2022
Huaijian Li   +3 more
openaire   +1 more source

Sensorless Control of Surface-Mounted Permanent Magnet Synchronous Motor Using Adaptive Robust UKF

Journal of Electrical Engineering and Technology, 2022
Hongchang Ding, Xiaojun Qin
exaly  

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