Zobrazeno 1 - 10
of 78
pro vyhledávání: '"Kwangseok Oh"'
Autor:
Jung-Jin Park, Kwangseok Oh, Gun-Wu Lee, Geul Bang, Jin-Hee Park, Han-Byeol Kim, Jin Young Kim, Eun-Young Shin, Eung-Gook Kim
Publikováno v:
Experimental and Molecular Medicine, Vol 55, Iss 4, Pp 794-805 (2023)
Abstract Senescence, a hallmark of aging, is a factor in age-related diseases (ARDs). Therefore, targeting senescence is widely regarded as a practicable method for modulating the effects of aging and ARDs. Here, we report the identification of regor
Externí odkaz:
https://doaj.org/article/596467903462476eabef0d4df5a126ae
Autor:
Hanbyeol La, Kwangseok Oh
Publikováno v:
Actuators, Vol 13, Iss 5, p 167 (2024)
This study proposes a universal adaptive control algorithm for an unknown multi-input multi-output (MIMO) system using recursive least squares (RLS) and parameter self-tuning. The issue of adjusting the control and system parameters in response to ch
Externí odkaz:
https://doaj.org/article/bf751f0e35054aafad318bd8176a1f69
Autor:
Jeongwoo Lee, Kwangseok Oh
Publikováno v:
IEEE Access, Vol 11, Pp 54616-54628 (2023)
This paper presents a data-driven adaptive steady state-integral-derivative (SS-ID) control algorithm that uses gradient descent and recursive least squares (RLS) with a forgetting factor. A simplified first-order differential equation of the control
Externí odkaz:
https://doaj.org/article/df4272deef324be7bfa2e82f9bfaded1
Autor:
Sehwan Kim, Kwangseok Oh
Publikováno v:
Machines, Vol 11, Iss 10, p 972 (2023)
The increasing complexity of mathematical models developed as part of the recent advancements in autonomous mobility platforms has led to an escalation in uncertainty. Despite the intricate nature of such models, the detection, decision, and control
Externí odkaz:
https://doaj.org/article/1803cf8ecc584da09159fc978c1f046b
Autor:
Jeong-Woo Lee, Kwangseok Oh
Publikováno v:
IEEE Access, Vol 10, Pp 113214-113233 (2022)
A new active suspension control system that replaces the existing complex hydraulic systems was proposed in this paper by reviewing recent research and development trends. We studied the actuator system characteristics, force, and damping control by
Externí odkaz:
https://doaj.org/article/f1548719ea044cc18ecb32b15810bb11
Publikováno v:
IEEE Access, Vol 10, Pp 27014-27030 (2022)
This paper presents an emergency pullover algorithm for fail-safe systems designed for level-4 autonomous vehicles. The proposed algorithm utilizes feedback gain adaptation, based on sensitivity estimation, and cost-based learning. Vehicle failure wi
Externí odkaz:
https://doaj.org/article/d932d0fda5d14f6eb4a9829d1faf446c
Publikováno v:
IEEE Access, Vol 10, Pp 27863-27880 (2022)
This paper presents a sliding mode-based adaptive fault detection and emergency control algorithm for implementation in fail-safe systems of autonomous vehicles. The overall algorithm is comprised of a fault detection part and a fail-safe control par
Externí odkaz:
https://doaj.org/article/bd6315805c624d89abf2a29abeed2a6c
Autor:
Kwangseok Oh, Jaho Seo
Publikováno v:
IEEE Access, Vol 10, Pp 35251-35264 (2022)
This paper presents an adaptive and weighted model predictive control (MPC) algorithm for autonomous driving with disturbance estimation and prediction. Unexpected and unpredictable disturbances in the real world limit the performance of MPC. To over
Externí odkaz:
https://doaj.org/article/396bc29356124e8da4523d9fd0e7b271
Publikováno v:
Sensors, Vol 23, Iss 7, p 3650 (2023)
Recently, in various fields, research into the path tracking of autonomous vehicles and automated guided vehicles has been conducted to improve worker safety, convenience, and work efficiency. For path tracking of various systems applied to autonomou
Externí odkaz:
https://doaj.org/article/c133c23cadfc451c8285baaa1599411b
Autor:
Kwangseok Oh, Jaho Seo
Publikováno v:
Sensors, Vol 23, Iss 1, p 405 (2022)
This paper presents a sliding mode control (SMC)-based path-tracking algorithm for autonomous vehicles by considering model-free adaptive feedback actions. In autonomous vehicles, safe path tracking requires adaptive and robust control algorithms bec
Externí odkaz:
https://doaj.org/article/07c11bd0f60e4f978185ba1cd469fc3f