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Constrained nonlinear state estimation based on the UKF approach
Computers & Chemical Engineering, 2009In this paper we investigate the use of an alternative to the extended Kalman filter (EKF), the unscented Kalman filter (UKF). First we give a broad overview of different UKF algorithms, then present an extension to the ensemble of UKF algorithms, and finally address the issue of how to add constraints using the UKF approach.
S. Kolås, Bjarne A. Foss, T. S. Schei
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Optimal estimation of the central normal of a heliostat using UKF
2010 11th International Conference on Control Automation Robotics & Vision, 2010The aiming accuracy of the optical axis of a heliostat directly affects the working efficiency of a concentrating solar tower plant. Due to the size of heliostat, it is difficult to measure the orientation of the optical axis directly during the tracking process.
Fen Xu, Wenfeng Liang
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An Implicit UKF for Satellite Stellar Refraction Navigation System
IEEE Transactions on Aerospace and Electronic Systems, 2017The stellar refraction navigation is a type of autonomous celestial navigation method for satellites that uses high-accuracy star sensors to obtain the stellar refraction. The apparent height and the stellar refraction angle are two kinds of measurements for the satellite stellar refraction navigation system.
Xiaolin Ning +2 more
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MPC for a Simplified Transmission Model with Backlash Using UKF
IEEE International Symposium on Intelligent Control, 2006Backlash mechanisms can be seen in many mechanical systems and they may deteriorate the performance of the systems. So the control of the backlash is very important for practical applications. In this paper we propose a control method for a simplified transmission system with the backlash using a Model Predictive Control (MPC) and Unscented Kalman ...
M. Saito, M. Yamakita
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Adaptive robust UKF for nonlinear systems with parameter uncertainties
IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society, 2016This paper addresses robust filtering for nonlinear systems with parameter uncertainties. We developed a new robust unscented Kalman filter (RUKF) which doesn't require calculating Jacobian matrix by using Unscented Statistical Linearization to consider the influence of parameter uncertainties of covariance matrices.
Shinji Ishihara, Masaki Yamakita
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Application of UKF Alogrithm in Passive Localization and Tracking
2018 IEEE 3rd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC), 2018Depending on the information of DOA and TOA, passive location to a moving emitter can be realized by a fixed observer. In the location system, the state model is generally linear, but the measurement model is frequently nonlinear. With the help of extended Kalman filter (EKF), the state of the target can be estimated, and the track of it can be also ...
Li Bingrong +3 more
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UKF days : [UKF SA renginys] / Domas Kavoliukas
2003UKF SA renginys "UKF days".
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UKF Applied for Position Estimation of Underwater-Beacon Precision
2013A location estimation algorithm based on underwater beacon was proposed in this paper. Location estimation of beacon is prerequisite to the underwater localization and communication. Unscented Kalman Filter is verified through MATLAB simulations and experiments in real-time environments.
Ba-Da Yoon +3 more
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Fusion Estimation Based on UKF for Indoor RFID Tracking
2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, 2013Radio frequency identification (RFID) can effectively get the accurate location information for indoor tracking system. As to RFID sensor measurements with the multi-source and irregular sampling characteristics in the indoor tracking system, this paper gives the data-driven fusion estimation method based on Unscented Kalman filter (UKF).
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