Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Philippe Hayot"'
Autor:
Zhenyu Wang, Wenbo Zhu, Ricardo Rendall, Ivan Castillo, Philippe Hayot, Jose A. Romagnoli, Leo H. Chiang
Publikováno v:
IFAC-PapersOnLine. 54:498-503
Reinforcement learning is a branch of machine learning, where an agent gradually learns a control policy via a combination of exploration and interactions with a system. Recent successes of model-free reinforcement learning (RL) has attracted tremend
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4a31635ef375e3b14332c45dd2d2a72b
https://doi.org/10.1016/j.ifacol.2021.08.291
https://doi.org/10.1016/j.ifacol.2021.08.291
Autor:
Christos Georgakis, Leo H. Chiang, Zhenyu Wang, John M. Wassick, Swee-Teng Chin, Philippe Hayot, Ivan Castillo
Publikováno v:
Industrial & Engineering Chemistry Research. 59:14868-14880
The optimization of batch processes usually relies on the availability of a detailed knowledge-driven model. However, because of the great varieties of industrial batch processes and their small pr...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4986b358d33bb9693e63561be51f8fab
https://doi.org/10.1021/acs.iecr.0c01952
https://doi.org/10.1021/acs.iecr.0c01952
Autor:
Wenbo Zhu, Ivan Castillo, Zhenyu Wang, Ricardo Rendall, Leo H. Chiang, Philippe Hayot, Jose A. Romagnoli
Publikováno v:
Journal of Advanced Manufacturing and Processing. 4
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8b755c128cdc69b2a3bfd472b29f01ce
https://doi.org/10.1002/amp2.10113
https://doi.org/10.1002/amp2.10113
Autor:
Louis Oostvogels, Jobert Ludlage, Wim Van Brempt, Ton Backx, Shamsur Rahman, Peter Van Overschee, Philippe Hayot
A novel dynamic optimizer PathFinder has been applied to a dynamic model of a Dow polystyrene production facility at Tessenderlo, Belgium. PathFinder optimizes grade transitions subject to an economic cost function. Introduction of process constraint
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cf97b599591d23a8cd3a8c05c382e656
https://doi.org/10.1016/s1570-7946(02)80135-3
https://doi.org/10.1016/s1570-7946(02)80135-3
