Results 171 to 180 of about 18,908 (211)

UNSCENTED KALMAN FILTER FOR FAULT DETECTION

IFAC Proceedings Volumes, 2005
Abstract In this paper, the approximation of nonlinear systems using unscented Kalman filter (UKF) is discussed, and the conditions for the convergence of the UKF are derived. The detection of faults from residuals generated by the UKF is presented. As fault detection often reduced to detecting irregularities in the residuals, such as the mean, the ...
K. Xiong, C.W. Chan, H.Y. Zhang
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Face Tracking Using Unscented Kalman Filter

2020 International Conference on Electronics, Information, and Communication (ICEIC), 2020
In this paper, we present an efficient vision-based face detection and tracking system. For face detection, we have improved the Viola-Jones algorithm by increasing the number of sample images for training. This improved cascade classifier is performing better than the standard algorithm. In this proposed method, we used the practical implementation of
Thathupara Subramanyan Kavya, Tao Peng, Young-Min Jang, Erdenetuya Tsogtbaatar, Sang-Bock Cho   +4 more
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Compressed Unscented Kalman filter-based SLAM

2014 IEEE International Conference on Robotics and Biomimetics (ROBIO 2014), 2014
This paper proposes a real-time nonlinear filtering approach for the SLAM problem, termed as compressed Unscented Kalman filter (CUKF). A partial sampling strategy was recently proposed to make the computational complexity of the UKF quadratic with the state-vector dimension.
Jiantong Cheng, Jonghyuk Kim, Zhenyu Jiang, Xixiang Yang   +3 more
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A novel adaptive unscented Kalman filter

2012 Third International Conference on Intelligent Control and Information Processing, 2012
For solving the problem that the conventional unscented Kalman filter (UKF) declines in accuracy and further diverges when the system's noise statistics are unknown and time-varying, an adaptive UKF is proposed based on moving window and random weighting methods.
Gaoge Hu, Shesheng Gao, Li Xue
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UDUT Continuous-Discrete Unscented Kalman Filtering

2008 Second International Symposium on Intelligent Information Technology Application, 2008
In this paper the UDUT continuous-discrete unscented Kalman filter (UKF) for state estimation of continuous-time nonlinear systems is proposed. UDUT scalar update is introduced into the measurement update procedure of continuous-discrete UKF (CDUKF). It is pointed out that this form is sometimes more efficient than the standard CDUKF.
Shaolin Lv, Jiabin Chen, Zhide Liu
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Adaptive Unscented Kalman Filter

2011
Bilinen Geleneksel Kalman Filtresi doğru bir sistem modeli ve tam stokastik bilgi gerektirir. Fakat, pek çok gerçek uygulamada sistem bilgisi tam olarak bilinmez veya yanlış bilinir. Bu nedenle filtre ıraksayabilir veya yanlı tahminler elde edilebilir.
KÖKSAL BABACAN, Esin, ÖZBEK, Levent, BİÇER, Cenker   +2 more
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Interacting multiple sensor unscented Kalman filter

Proceedings of the 10th World Congress on Intelligent Control and Automation, 2012
Due to the log-normal model of the received signal strength(RSS), the range measurements have variance proportional to their actual range, and so this results in degradation of the tracking performance with the range increasing. To deal with this problem, we consider the collaborative tracking procedure in a cluster as a Markov jump nonlinear system ...
Zhigang Liu, Jinkuan Wang
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A rao-blackwellised unscented Kalman filter

Sixth International Conference of Information Fusion, 2003. Proceedings of the, 2003
The Unscented Kalman Filter oflers sign$- cant improvements in the estimation of non-linear discrete- time models in comparison to the Extended Kalman Fil- ter 1121. In this paper we use a technique introduced by Casella and Robert (2), known as Rao-Blackwellisation, to calculate the tractable integrations that are found in the Unscented Kalman Filter:
M. Briers, S.R. Maskell, R. Wright
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Unscented Kalman Filter with Controlled Adaptation

IFAC Proceedings Volumes, 2012
Abstract The paper deals with state estimation of nonlinear stochastic systems with a special focus on the unscented Kalman filter. Recently, several techniques have been proposed to improve estimate quality of the system state by adapting a scaling parameter of the filter. They are, however, tied with an increase of computational costs. To eliminate
Ondřej Straka, Jindřich Duník, Miroslav Šimandl   +2 more
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Robust predictive augmented unscented Kalman filter

International Journal of Control, Automation and Systems, 2014
This paper presents a new Unscented Kalman Filtering (UKF) method by using robust model prediction. This method incorporates system driving noise in system state through augmentation of state space dimension to expand the input of system state information.
Yan Zhao, She-sheng Gao, Jing Zhang, Qiao-nan Sun   +3 more
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