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전체 가 나 다 라 마 바 사 아 자 차 카 타 파 하

Showing results 1 to 4 of 4

Article
Data-driven disturbance compensation for core-type linear motors using TISO-GPR integrated with disturbance observers
  • Jung, Hanul ; 
  • Yeo, Hoyeong ; 
  • Chang, Hamin ; 
  • Oh, Sehoon
  • 2026-08
  • CONTROL ENGINEERING PRACTICE, v.173
  • PERGAMON-ELSEVIER SCIENCE LTD
  • View : 35
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Conference
Estimation of Multi-state Dependent Disturbance by Using Multi-dimensional Gaussian Process
  • 2024-06-19
  • Yeo, Hoyeong. (2024-06-19). Estimation of Multi-state Dependent Disturbance by Using Multi-dimensional Gaussian Process. 33rd IEEE International Symposium on Industrial Electronics, ISIE 2024, 1–4. doi: 10.1109/ISIE54533.2024.10595827
  • IEEE Industrial Electronics Society
  • View : 182
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Article
Hybrid Tracker Based Optimal Path Tracking System of Autonomous Driving for Complex Road Environments
  • Seo, Eunbin ; 
  • Lee, Seunggi ; 
  • Shin, Gwanjun ; 
  • Yeo, Hoyeong ; 
  • Lim, Yongseob ; 
  • Choi, Gyeungho
  • 2021-05
  • Seo, Eunbin. (2021-05). Hybrid Tracker Based Optimal Path Tracking System of Autonomous Driving for Complex Road Environments. IEEE Access, 9, 71763–71777. doi: 10.1109/ACCESS.2021.3078849
  • Institute of Electrical and Electronics Engineers Inc.
  • View : 995
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Conference
Multi-dimensional Gaussian Process-based Control for Compensation of Multi-state Dependent Disturbance
  • 2024-07-18
  • Yeo, Hoyeong. (2024-07-18). Multi-dimensional Gaussian Process-based Control for Compensation of Multi-state Dependent Disturbance. IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2024, 1392–1397. doi: 10.1109/AIM55361.2024.10636996
  • IEEE Geoscience and Remote Sensing Society
  • View : 206
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