OpenAlex 1.143 eser 70 yazar konusu
Çalışmalar
1.143 eser
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YÖKSİS
JCR Q1
OpenAlex üst %1
OpenAlex 100.0%
A low-cost solid-state inertial navigation system (INS) for mobile robotics applications is described. Error models for the inertial sensors are generated and included in an extended Kalman filter (EKF) for estimating the position and orientation of a moving robot vehicle. Two different solid-state gyroscopes have bee…
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YÖKSİS
SJR Q1
JCR Q1
OpenAlex üst %1
OpenAlex 99.5%
This paper presents a cardinalized probability hypothesis density (CPHD) filter for extended targets that can result in multiple measurements at each scan. The probability hypothesis density (PHD) filter for such targets has been derived by Mahler, and different implementations have been proposed recently. To achieve…
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YÖKSİS
SJR Q2
JCR Q1
OpenAlex üst %10
OpenAlex 96.3%
Özet henüz yok.
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YÖKSİS
SJR Q2
JCR Q1
OpenAlex üst %10
OpenAlex 96.3%
Özet henüz yok.
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YÖKSİS
SJR Q1
JCR Q1
OpenAlex üst %10
OpenAlex 97.0%
In this article, the real-time comparison of extended and unscented Kalman filter algorithms, which estimate the stator stationary axis components of stator currents, the stator stationary axis components of rotor fluxes, the rotor mechanical speed, and the load torque including viscous friction term, are performed un…
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YÖKSİS
SJR Q1
JCR Q1
OpenAlex üst %10
OpenAlex 97.0%
In this article, the real-time comparison of extended and unscented Kalman filter algorithms, which estimate the stator stationary axis components of stator currents, the stator stationary axis components of rotor fluxes, the rotor mechanical speed, and the load torque including viscous friction term, are performed un…
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YÖKSİS
SJR Q2
JCR Q2
OpenAlex üst %1
OpenAlex 99.9%
Özet henüz yok.
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YÖKSİS
SJR Q2
JCR Q2
OpenAlex üst %1
OpenAlex 99.9%
Özet henüz yok.
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YÖKSİS
SJR Q1
JCR Q2
OpenAlex üst %1
OpenAlex 99.9%
SUMMARY Unscented Kalman filter (UKF) is a filtering algorithm that gives sufficiently good estimation results for the estimation problems of nonlinear systems even when high nonlinearity is in question. However, in case of system uncertainty or measurement malfunctions, the UKF becomes inaccurate and diverges by time…
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YÖKSİS
JCR Q4
OpenAlex üst %1
OpenAlex 99.9%
SUMMARY Unscented Kalman filter (UKF) is a filtering algorithm that gives sufficiently good estimation results for the estimation problems of nonlinear systems even when high nonlinearity is in question. However, in case of system uncertainty or measurement malfunctions, the UKF becomes inaccurate and diverges by time…
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YÖKSİS
SJR Q1
JCR Q3
OpenAlex üst %1
OpenAlex 99.8%
Özet henüz yok.
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YÖKSİS
OpenAlex üst %1
OpenAlex 99.8%
Özet henüz yok.
Akademisyenler
70 akademisyen
- CENGİZ HACIZADE 191 yazar konusu
- CEREN ŞAHİN 93 yazar konusu
- HALİL ERSİN SÖKEN 93 yazar konusu
- CEMAL ÖZER YİĞİT 24 yazar konusu
- CEVAT İNAL 21 yazar konusu
- DOĞAN UĞUR ŞANLI 17 yazar konusu
- VELİ İLÇİ 16 yazar konusu
- BURAK AKPINAR 15 yazar konusu
- TAYLAN ÖCALAN 15 yazar konusu
- SERCAN BÜLBÜL 14 yazar konusu
- BAHATTİN ERDOĞAN 13 yazar konusu
- CÜNEYT AYDIN 13 yazar konusu