Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Jaroslaw Smoczek"'
Autor:
Tom Kusznir, Jaroslaw Smoczek
Publikováno v:
Sensors, Vol 23, Iss 13, p 5842 (2023)
Payload weight detection plays an important role in condition monitoring and automation of cranes. Crane cells and scales are commonly used in industrial practice; however, when their installation to the hoisting equipment is not possible or costly,
Externí odkaz:
https://doaj.org/article/67e1fdc1a41a4defb35ae66f337e026b
Autor:
Tom Kusznir, Jaroslaw Smoczek
Publikováno v:
Sensors, Vol 22, Iss 1, p 339 (2022)
This paper proposes a multi-gene genetic programming (MGGP) approach to identifying the dynamic prediction model for an overhead crane. The proposed method does not rely on expert knowledge of the system and therefore does not require a compromise be
Externí odkaz:
https://doaj.org/article/aa5247126aac4a7b8bc9b05fba51ea47
Autor:
Tom Kusznir, Jaroslaw Smoczek
Publikováno v:
Journal of Control Science and Engineering, Vol 2020 (2020)
This paper addresses the problem of damping vibrations of a cable-suspended payload during positioning of the quadrotor. A nonlinear model is derived for the coupled quadrotor-pendulum system in the X-Z plane using Euler–Lagrange formulation. Slidi
Externí odkaz:
https://doaj.org/article/e687e07279ea49fdb271094cc729c9ea
Autor:
Tom Kusznir, Jarosław Smoczek
Publikováno v:
Applied Sciences, Vol 14, Iss 12, p 5112 (2024)
This paper presents a new approach to the nonlinear model predictive control (NMPC) of an underactuated overhead crane system developed using a data-driven prediction model obtained utilizing the regularized genetic programming-based symbolic regress
Externí odkaz:
https://doaj.org/article/77ebb41762e44b709c8046dde7027981
Publikováno v:
Applied Sciences, Vol 14, Iss 8, p 3492 (2024)
The meaningful problem of improving crane safety, reliability, and efficiency is extensively studied in the literature and targeted via various model-based control approaches. In recent years, crane data-driven modeling has attracted much attention c
Externí odkaz:
https://doaj.org/article/a6790d4b5b794d87b7229d788c138c1b
Publikováno v:
National Information Processing Institute
BPP_AGH
BPP_AGH
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::3b54d4226aff0956235adce42e9a388e
https://kones.eu/ep/2017/vol24/no3/299-308_J_O_KONES_2017_NO_3_VOL._24_ISSN_1231-4005_SZPYTKO.pdf
https://kones.eu/ep/2017/vol24/no3/299-308_J_O_KONES_2017_NO_3_VOL._24_ISSN_1231-4005_SZPYTKO.pdf
