Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Hyun Ho Kang"'
Publikováno v:
IEEE Access, Vol 10, Pp 5980-5989 (2022)
Mobile robot localizations have been extensively studied, and various algorithms for multiple-robot localization have been developed. However, existing methods for multiple-robot localization often exhibit poor performance under harsh conditions, suc
Externí odkaz:
https://doaj.org/article/51270cd30cef420da30b5c79c61120c5
Publikováno v:
IEEE Access, Vol 10, Pp 70143-70153 (2022)
This article solves the problem caused by high level current feedback gain setting for fast responsiveness of magnetic levitation systems considering the current dynamics and presents advanced nonlinear positioning technology without plant parameter
Externí odkaz:
https://doaj.org/article/b7fd71c2e37a4c41823a48bc384966fc
Publikováno v:
IEEE Access, Vol 8, Pp 87173-87183 (2020)
In this paper, we propose a new state estimator called the two-layer nonlinear finite impulse response (TLNF) filter and adopt this new filter and unscented Kalman filter (UKF) as subfilters to create the fusion TLNF/UK filter. The TLNF filter is con
Externí odkaz:
https://doaj.org/article/5ebe8a574b3645c5b71490650d466338
Publikováno v:
IEEE Access, Vol 6, Pp 47397-47407 (2018)
In this paper, we propose a novel control strategy, a finite memory output feedback control (FMOFC), for an unmanned aerial vehicle (UAV). The proposed control strategy is designed with the estimated states obtained by stacking a finite N number of m
Externí odkaz:
https://doaj.org/article/052369e1ab0c499aabb0da2e18bcdb07
Publikováno v:
PLoS ONE, Vol 13, Iss 3, p e0193733 (2018)
This paper proposes a novel vehicle detection system that can overcome some limitations of typical vehicle detection systems using AdaBoost-based methods. The performance of the AdaBoost-based vehicle detection system is dependent on its training dat
Externí odkaz:
https://doaj.org/article/b6b7648687ae411a9bd6ade4ca2a2ac5
Publikováno v:
IEEE/ASME Transactions on Mechatronics. 27:5846-5856
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e9f416cd42c03c4ac80b4c92cc082744
https://doi.org/10.1109/tmech.2022.3190053
https://doi.org/10.1109/tmech.2022.3190053
Publikováno v:
International Journal of Robust and Nonlinear Control. 33:1027-1042
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5a295e7395f3e7e4426d0c7e5c9e270a
https://doi.org/10.1002/rnc.6416
https://doi.org/10.1002/rnc.6416
Publikováno v:
IEEE Transactions on Network Science and Engineering. 9:2290-2300
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::501be70f9f2ca331fc1d6998d5c894b2
https://doi.org/10.1109/tnse.2022.3161645
https://doi.org/10.1109/tnse.2022.3161645
Publikováno v:
IEEE Transactions on Circuits and Systems II: Express Briefs. 69:2822-2826
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::09da1d25979f29aaadec350172835a52
https://doi.org/10.1109/tcsii.2021.3132378
https://doi.org/10.1109/tcsii.2021.3132378
Multitarget Tracking with Lidar and Stereo Vision Based on Probabilistic Data Association FIR Filter
Publikováno v:
Journal of Electrical Engineering & Technology. 17:641-654
A key function of multitarget tracking (MTT) is the state estimation of unknown targets. In this paper, we propose a new state estimator, the probabilistic data association finite impulse response filter (PDAFIRF), which is designed to overcome the d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b459ea18242b77a99674872ae1f83388
https://doi.org/10.1007/s42835-021-00908-0
https://doi.org/10.1007/s42835-021-00908-0