Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Witold Byrski"'
Autor:
Michał Drapała, Witold Byrski
Publikováno v:
Archives of Control Sciences, Vol vol. 32, Iss No 4, Pp 755-782 (2022)
Glass production has a great industrial importance and is associated with many technological challenges. Control related problems concern especially the last part of the process, so called glass conditioning. Molten glass is gradually cooled down in
Externí odkaz:
https://doaj.org/article/9fa49fd147f7424386a283e1416f4a0b
Autor:
Witold Byrski, Michał Drapała
Publikováno v:
Archives of Control Sciences, Vol vol. 32, Iss No 3, Pp 535-555 (2022)
The paper presents an iterative identification method dedicated for industrial processes. The method consists of two steps. In the first step, a MISO system is identified with the Modulating Functions Method to obtain sub-models with a common denomin
Externí odkaz:
https://doaj.org/article/e38c9b1a4d2449b19bfdc5a9a52ffb00
Autor:
Michał Drapała, Witold Byrski
Publikováno v:
Intelligent and Safe Computer Systems in Control and Diagnostics ISBN: 9783031161582
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1fd3b3afd43a7217ac411ea76bc0c6b6
https://doi.org/10.1007/978-3-031-16159-9_34
https://doi.org/10.1007/978-3-031-16159-9_34
Autor:
Michał Drapała, Witold Byrski
Publikováno v:
MMAR
Model Predictive Control (MPC) is an advanced method of process control. Despite its usefulness, it is applied mostly for large industrial processes. In the paper, a model predictive algorithm for a glass forehearth is presented. The problem of molte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::40d060fa433878220f435e0be06f5ed8
https://doi.org/10.1109/mmar49549.2021.9528433
https://doi.org/10.1109/mmar49549.2021.9528433
Autor:
Witold Byrski, Michał Drapała
Publikováno v:
MMAR
Adaptive identification method based on modulatingfunctions method is described in the paper. The process istreated as a linear system with parameters values that can bechanged on-line during the identification procedure. The overallmodel is composed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a2630e20f4b651d15d6196c5b7f29124
Autor:
Witold, Byrski, Michal, Drapala
An application of modulating functionsmethod (MFM) for the identification of an industrial process of glass conditioning, which involves cooling molten glass between its manufacturingand processing. The process is carried out in glass forehearths aft
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5cd1f2497ff2dd10d2c9bebc53a6b72c
Autor:
Witold, Byrski
This presentation gives an overwiev for the exact state observation. Different problems are analyzed and disccused. The structures of asymptotic estimators (KF) and observers (Luenberger) are recalled. The theory of the exact state observers (non-asy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::83dfad8e4368cdf27d2a6ee67634c3ef
Publikováno v:
Computational Science – ICCS 2021 ISBN: 9783030779696
ICCS (4)
ICCS (4)
The paper presents an advanced application of computation methodology with complicated algorithms and calculation methods dedicated to optimal identification and simulation of dynamic processes. These models may have an unknown structure (the order o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::81b9942af908a9f032968f8317b82ca7
https://doi.org/10.1007/978-3-030-77970-2_22
https://doi.org/10.1007/978-3-030-77970-2_22
Autor:
Jędrzej Byrski, Witold Byrski
Publikováno v:
Science, Technology and Innovation. 3:62-68
In the paper an overview of state estimators and state observers used in linear systems, will be presented. The state estimators and observers can be used in many applications like the state reconstruction for the control purposes or for the diagnosi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bf529b26781940fe96ce6e50485d7beb
https://doi.org/10.5604/01.3001.0012.8169
https://doi.org/10.5604/01.3001.0012.8169